Site banner
.
Home Forums Blogs Articles Photos Videos Contact FAQ                    
.
.
Wisdom Archive
Body Mind and Soul
Faith and Belief
God and Religion
Law of Attraction
Life and Beyond
Love and Happiness
Peace of Mind
Peace on Earth
Personal Faith
Spiritual Festivals
Spiritual Growth
Spiritual Guidance
Spiritual Inspiration
Spirituality and Science
Spiritual Retreats
More Wisdom
Buddhism Archives
Hinduism Archives
Sustainability
Theology Archives
Even more Wisdom
2012 - Year 2012
Affirmations
Aura
Ayurveda
Chakras
Consciousness
Cultural Creatives
Diksha (Deeksha)
Dream Dictionary
Dream Interpretation
Dream interpreter
Dreams
Enlightenment
Essential Oils
Feng Shui
Flower Essences
Gaia Hypothesis
Indigo Children
Kalki Bhagavan
Karma
Kundalini
Kundalini Yoga
Life after death
Mayan Calendar
Meaning of Dreams
Meditation
Morphogenetic Fields
Psychic Ability
Reincarnation
Spiritual Art, Music & Dance
Spiritual Awakening
Spiritual Enlightenment
Spiritual Healing
Spirituality and Health
Spiritual Jokes
Spiritual Parenting
Vastu Shastra
Womens Spirituality
Yoga Positions
Site map 2
Site map
.

Lambda calculus

A Wisdom Archive on Lambda calculus

Lambda calculus

A selection of articles related to Lambda calculus

lambda calculus

ARTICLES RELATED TO Lambda calculus

Lambda calculus: Encyclopedia II - Halting problem - Relationship with Gödel's incompleteness theorem

The concepts raised by Gödel's incompleteness theorems are very similar to those raised by the halting problem, and the proofs are quite similar. In fact, a weaker form of the First Incompleteness Theorem is an easy consequence of the undecidability of the halting problem. This weaker form differs from the standard statement of the incompleteness theorem by asserting that a complete, consistent and sound axiomatization of all statements about natural numbers is unachievable. The "sound" part is the weakening: it means that we require ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Relationship with Gödel's incompleteness theorem

Lambda calculus: Encyclopedia II - Functional programming - Higher-order functions

A powerful mechanism sometimes used in functional programming is the notion of higher-order functions. Functions are higher-order when they can take other functions as arguments, and/or return functions as results. (The differential operator in calculus is a common example of a function that maps a function to a function.) Higher-order functions were studied in the lambda calculus theory well before the notion of functional programming existed and are present in the design of a number ...

See also:

Functional programming, Functional programming - Introduction, Functional programming - History, Functional programming - Comparison with imperative programming, Functional programming - Functional programming languages, Functional programming - Higher-order functions, Functional programming - Speed and space considerations, Functional programming - Functional languages

Read more here: » Functional programming: Encyclopedia II - Functional programming - Higher-order functions

Lambda calculus: Encyclopedia II - Functional programming - Comparison with imperative programming

Functional programming can be contrasted with imperative programming. Functional programming appears to be missing several constructs often (though incorrectly) considered essential to an imperative language such as C or Pascal. For example, in strict functional programming, there is no explicit memory allocation and no explicit variable assignment. However, these operations occur automatically when a function is invoked: memory allocation occurs to create space for the parameters and the return value, and assignment occurs to copy the param ...

See also:

Functional programming, Functional programming - Introduction, Functional programming - History, Functional programming - Comparison with imperative programming, Functional programming - Functional programming languages, Functional programming - Higher-order functions, Functional programming - Speed and space considerations, Functional programming - Functional languages

Read more here: » Functional programming: Encyclopedia II - Functional programming - Comparison with imperative programming

Lambda calculus: Encyclopedia II - Functional programming - Functional programming languages

Pure functional programs require no variables and have no side-effects, and are therefore automatically thread-safe. They are also automatically verifiable provided that any recursive cycle eventually stops. Nested functions just pass their results back to the main function. Functional languages commonly make quite sophisticated use of the stack. Functional programming often depends heavily on recursion. The Scheme programming language even requires certain types of recursion ( ...

See also:

Functional programming, Functional programming - Introduction, Functional programming - History, Functional programming - Comparison with imperative programming, Functional programming - Functional programming languages, Functional programming - Higher-order functions, Functional programming - Speed and space considerations, Functional programming - Functional languages

Read more here: » Functional programming: Encyclopedia II - Functional programming - Functional programming languages

Lambda calculus: Encyclopedia II - Turing completeness - Related Work

One important result from computability theory is that it is impossible in general to find if a program written in a Turing-complete language will continue executing forever or will stop within a finite period of time (see halting problem). One method of commonly getting around this is to cause programs to stop executing after a fixed period of time, or to limit the power of flow control instructions. Such ...

See also:

Turing completeness, Turing completeness - Related Work, Turing completeness - Examples, Turing completeness - Bibliography

Read more here: » Turing completeness: Encyclopedia II - Turing completeness - Related Work

Lambda calculus: Encyclopedia II - Functional programming - Comparison with imperative programming

Functional programming can be contrasted with imperative programming. Functional programming appears to be missing several constructs often (though incorrectly) considered essential to an imperative language such as C or Pascal. For example, in strict functional programming, there is no explicit memory allocation and no explicit variable assignment. However, these operations occur automatically when a function is invoked: memory allocation occurs to create space for the parameters and the return value, and assignment occurs to copy the param ...

See also:

Functional programming, Functional programming - History, Functional programming - Higher-order functions, Functional programming - Comparison with imperative programming, Functional programming - Pure functions, Functional programming - Monads, Functional programming - Expansion of functional programming, Functional programming - Speed and space considerations, Functional programming - Functional languages

Read more here: » Functional programming: Encyclopedia II - Functional programming - Comparison with imperative programming

Lambda calculus: Encyclopedia II - SKI combinator calculus - Formal definition

The terms and derivations in this system can also be more formally defined: Terms: The set T of terms is defined recursively by the following rules. , , and are terms. If τ1 and τ2 are terms, then (τ1τ2) is a term. Nothing is a ...

See also:

SKI combinator calculus, SKI combinator calculus - Informal description, SKI combinator calculus - Formal definition, SKI combinator calculus - SKI expressions, SKI combinator calculus - Self-application and recursion, SKI combinator calculus - The reversal expression, SKI combinator calculus - Boolean logic

Read more here: » SKI combinator calculus: Encyclopedia II - SKI combinator calculus - Formal definition

Lambda calculus: Encyclopedia II - Functional programming - Speed and space considerations

Functional languages have long been criticised as resource-hungry, both in terms of CPU resources and memory. This was mainly due to two factors: some early functional languages were implemented with little concern for efficiency non-functional languages achieved speed in part by leaving out features such as bounds checking and garbage collection which are considered by many to be important parts of modern computing fr ...

See also:

Functional programming, Functional programming - History, Functional programming - Higher-order functions, Functional programming - Comparison with imperative programming, Functional programming - Pure functions, Functional programming - Monads, Functional programming - Expansion of functional programming, Functional programming - Speed and space considerations, Functional programming - Functional languages

Read more here: » Functional programming: Encyclopedia II - Functional programming - Speed and space considerations

Lambda calculus: Encyclopedia II - Functional programming - Higher-order functions

A powerful mechanism used in functional programming is the notion of higher-order functions. Functions are higher-order when they can take other functions as arguments, and/or return functions as results. (The differential operator in calculus is a common example of a function that maps a function to a function.) Higher-order functions are closely related to first-class functions, in that higher-order functions and first-class functions both allow functions as arguments and results of other functions. The distinction between the two i ...

See also:

Functional programming, Functional programming - History, Functional programming - Higher-order functions, Functional programming - Comparison with imperative programming, Functional programming - Pure functions, Functional programming - Monads, Functional programming - Expansion of functional programming, Functional programming - Speed and space considerations, Functional programming - Functional languages

Read more here: » Functional programming: Encyclopedia II - Functional programming - Higher-order functions

Lambda calculus: Encyclopedia II - Halting problem - Sketch of proof

The proof proceeds by reductio ad absurdum. We start with assuming that there is a function halt(a, i) that returns true if the algorithm represented by the string a halts when given as input the string i, and returns false otherwise. (The existence of the universal Turing machine proves that every possible algorithm corresponds to at least one such string.) Given this algorithm we can construct another algorithm trouble(s) as follows: function trouble(string s) if halt(s, s) = false r ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Sketch of proof

Lambda calculus: Encyclopedia II - Halting problem - Formalization of the halting problem

In his original proof Turing formalized the concept of algorithm by introducing Turing machines. However, the result is in no way specific to them; it applies equally to any other model of computation that is equivalent in its computational power to Turing machines, such as Markov algorithms, Lambda calculus, Post systems or register machines. What is important is that the formalization allows a straightforward mapping of algorithms to some data type that the algorithm can operate upon. For example, if the formalism lets algori ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Formalization of the halting problem

Lambda calculus: Encyclopedia II - Halting problem - Recognizing partial solutions

No program can solve the halting problem. There are programs that give correct answers for some instances of it, and run forever on all other instances. A program that returns answers for some instances of the halting problem might be called a partial halting solver (PHS). Can we recognize a correct PHS when we see it? Let the PHS recognition problem be this: given a PHS, determine whether it returns only correct answers. This problem sounds like it might be easier than the halting problem itself. It is not. It is ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Recognizing partial solutions

Lambda calculus: Encyclopedia II - Halting problem - Can humans solve the halting problem?

It might seem like humans could solve the halting problem. After all, a programmer can often look at a program and tell whether it will halt. It is useful to understand why this cannot be true. For simplicity, we will consider the halting problem for programs with no input, which is also undecidable. To "solve" the halting problem means to be able to look at any program and tell whether it halts. It is not enough to be able to look at some programs and decide. Humans may also not be able to solve the halting problem, due ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Can humans solve the halting problem?

Lambda calculus: Encyclopedia II - List of mathematics categories - Mathematicians categories

List of mathematics categories - 0–9. 10th century mathematicians -- 11th century mathematicians -- 12th century mathematicians -- 13th century mathematicians -- 14th century mathematicians -- 15th century mathematicians -- 16th century mathematicians -- 17th century mathematicians -- 18th century mathematicians -- 19th century mathematicians -- 20th century mathematicians -- 21st century mathematicians -- 5th century mathema ...

See also:

List of mathematics categories, List of mathematics categories - Mathematics categories, List of mathematics categories - 0–9, List of mathematics categories - A, List of mathematics categories - B, List of mathematics categories - C, List of mathematics categories - D, List of mathematics categories - E, List of mathematics categories - F, List of mathematics categories - G, List of mathematics categories - H, List of mathematics categories - I, List of mathematics categories - J, List of mathematics categories - K, List of mathematics categories - L, List of mathematics categories - M, List of mathematics categories - N, List of mathematics categories - O, List of mathematics categories - P, List of mathematics categories - Q, List of mathematics categories - R, List of mathematics categories - S, List of mathematics categories - T, List of mathematics categories - U, List of mathematics categories - V, List of mathematics categories - W, List of mathematics categories - Z, List of mathematics categories - Mathematicians categories, List of mathematics categories - 0–9, List of mathematics categories - A, List of mathematics categories - B, List of mathematics categories - C, List of mathematics categories - D, List of mathematics categories - E, List of mathematics categories - F, List of mathematics categories - G, List of mathematics categories - H, List of mathematics categories - I, List of mathematics categories - J, List of mathematics categories - L, List of mathematics categories - M, List of mathematics categories - N, List of mathematics categories - P, List of mathematics categories - R, List of mathematics categories - S, List of mathematics categories - T, List of mathematics categories - U, List of mathematics categories - V, List of mathematics categories - W, List of mathematics categories - Mathematics-related categories, List of mathematics categories - A, List of mathematics categories - B, List of mathematics categories - C, List of mathematics categories - D, List of mathematics categories - E, List of mathematics categories - F, List of mathematics categories - G, List of mathematics categories - H, List of mathematics categories - I, List of mathematics categories - K, List of mathematics categories - L, List of mathematics categories - M, List of mathematics categories - N, List of mathematics categories - O, List of mathematics categories - P, List of mathematics categories - Q, List of mathematics categories - R, List of mathematics categories - S, List of mathematics categories - T, List of mathematics categories - V, List of mathematics categories - W

Read more here: » List of mathematics categories: Encyclopedia II - List of mathematics categories - Mathematicians categories

Lambda calculus: Encyclopedia II - Halting problem - Common pitfalls

Many students, upon analyzing the above proof, ask whether there might be an algorithm that can return a third option, such as "undecidable." This reflects a misunderstanding of decidability. It is easy to construct one algorithm that always answers "halts" and another that always answers "doesn't halt." For any specific program and input, one of these two algorithms answers correctly, even though nobody may know which one. The difficulty of the halting problem lies not in particular programs, but in the requ ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Common pitfalls

Lambda calculus: Encyclopedia II - Halting problem - Importance and consequences

The importance of the halting problem lies in the fact that it is the first problem to be proved undecidable. Subsequently, many other such problems have been described; the typical method of proving a problem to be undecidable is with the technique of reduction. To do this, the computer scientist shows that if a solution to the new problem was found, it could be used to decide an undecidable problem (by transforming instances of the undecidable problem into instances of the new problem). Since we already know that no method can decid ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Importance and consequences

Lambda calculus: Encyclopedia II - Currying - Mathematical view

When viewed in a set-theoretic light, currying becomes the theorem that the set of functions from to A, and the set (AB)C of functions from C to the set of functions from B to A, are isomorphic. In other words, currying is the statement that product and Hom are adjoint functors; this is the key ...

See also:

Currying, Currying - Examples, Currying - Mathematical view

Read more here: » Currying: Encyclopedia II - Currying - Mathematical view

Lambda calculus: Encyclopedia II - Functional programming - History

Lambda calculus, invented by Alonzo Church in the 1930s, provides a theoretical framework for describing functions and their evaluation. Though it is a mathematical abstraction rather than a programming language, lambda calculus forms the basis of almost all functional programming languages today. The first computer-based functional programming language was Information Processing Language (IPL), developed by Newell, Shaw, and Simon at RAND Corporation for the JOHNNIAC computer in the mid-1950s. A much-improved functional programming l ...

See also:

Functional programming, Functional programming - History, Functional programming - Higher-order functions, Functional programming - Comparison with imperative programming, Functional programming - Pure functions, Functional programming - Monads, Functional programming - Expansion of functional programming, Functional programming - Speed and space considerations, Functional programming - Functional languages

Read more here: » Functional programming: Encyclopedia II - Functional programming - History

Lambda calculus: Encyclopedia II - Halting problem - Formal statement

One possible way of formally stating the halting problem is as follows: Given a Gödel numbering of the computable functions, with the Cantor pairing function, the set is called the halting set. The problem of deciding whether the halting set is recursive or not is called the halting problem. As the set is recursively enumerable the halting problem is not solvable by a computable function. Alternative equivalent formulations, for inst ...

See also:

Halting problem, Halting problem - Formal statement, Halting problem - Importance and consequences, Halting problem - Sketch of proof, Halting problem - Common pitfalls, Halting problem - Formalization of the halting problem, Halting problem - Relationship with Gödel's incompleteness theorem, Halting problem - Can humans solve the halting problem?, Halting problem - Recognizing partial solutions, Halting problem - History of the Halting Problem, Halting problem - Footnotes

Read more here: » Halting problem: Encyclopedia II - Halting problem - Formal statement

Lambda calculus: Encyclopedia II - Beta normal form - Eta reduction

An eta redex is a term of the form where F is a term in which x does not occur. Eta reduction is an application of the following rewrite rule to an eta redex: ...

See also:

Beta normal form, Beta normal form - Beta reduction, Beta normal form - Reduction strategies, Beta normal form - Eta reduction

Read more here: » Beta normal form: Encyclopedia II - Beta normal form - Eta reduction

Lambda calculus: Encyclopedia II - Lambda calculus - Undecidability of equivalence

There is no algorithm which takes as input two lambda expressions and outputs TRUE or FALSE depending on whether or not the two expressions are equivalent. This was historically the first problem for which the unsolvability could be proven. Of course, in order to do so, the notion of algorithm has to be cleanly defined; Church used a definition via recursive functions, which is now known to ...

See also:

Lambda calculus, Lambda calculus - History, Lambda calculus - Informal description, Lambda calculus - Formal definition, Lambda calculus - α-conversion, Lambda calculus - β-reduction, Lambda calculus - η-conversion, Lambda calculus - Arithmetic in lambda calculus, Lambda calculus - Logic and predicates, Lambda calculus - Recursion, Lambda calculus - Computable functions and lambda calculus, Lambda calculus - Undecidability of equivalence, Lambda calculus - Lambda calculus and programming languages

Read more here: » Lambda calculus: Encyclopedia II - Lambda calculus - Undecidability of equivalence

.
  » Home » » Home »