Chapter 1 Linear Equations and Graphs
... Interval and Inequality Notation Interval notation is another way to write inequalities, as shown in the following table. This will be the notation that we use. ...
... Interval and Inequality Notation Interval notation is another way to write inequalities, as shown in the following table. This will be the notation that we use. ...
CS-Intro-AI-LISP - Geometric and Intelligent Computing Laboratory
... • Let is the most common way of introducing vars that are not parameters of fns; resist temptation to use a var w/o introducing it (can actually do this in Lisp). • Let introduces a new local variable and binds it to a ...
... • Let is the most common way of introducing vars that are not parameters of fns; resist temptation to use a var w/o introducing it (can actually do this in Lisp). • Let introduces a new local variable and binds it to a ...
Ch15-w
... • The basic process of computation is fundamentally different in a FPL than in an imperative language – In an imperative language, operations are done and the results are stored in variables for later use – Management of variables is a constant concern and source of complexity for imperative program ...
... • The basic process of computation is fundamentally different in a FPL than in an imperative language – In an imperative language, operations are done and the results are stored in variables for later use – Management of variables is a constant concern and source of complexity for imperative program ...
Chapter 5 - cloudfront.net
... Example#3 • Add or subtract. Identify any x-values for which the expression is undefined. 3x2 – 5 3x – 1 ...
... Example#3 • Add or subtract. Identify any x-values for which the expression is undefined. 3x2 – 5 3x – 1 ...
Modeling Data With Functional Programming In R
... features. Many of these concepts originate from the lambda calculus, a mathematical framework for describing computation via functions. While each functional language supports a slightly di↵erent set of features, there is a minimal set of overlapping concepts that we can consider to form the basis o ...
... features. Many of these concepts originate from the lambda calculus, a mathematical framework for describing computation via functions. While each functional language supports a slightly di↵erent set of features, there is a minimal set of overlapping concepts that we can consider to form the basis o ...
CS 135 - School of Computer Science Student WWW Server
... Functional and imperative programming share many concepts. However, they require you to think differently about your programs. If you have had experience with imperative programming, you may find it difficult to adjust initially. By the end of CS 136, you will be able to express computations in bot ...
... Functional and imperative programming share many concepts. However, they require you to think differently about your programs. If you have had experience with imperative programming, you may find it difficult to adjust initially. By the end of CS 136, you will be able to express computations in bot ...
4on1 - FSU Computer Science
... Control Flow In this set of notes you will learn about: Expression evaluation order Assignments Structured and unstructured flow Goto’s Sequencing Selection Iteration Recursion ...
... Control Flow In this set of notes you will learn about: Expression evaluation order Assignments Structured and unstructured flow Goto’s Sequencing Selection Iteration Recursion ...
Beginning with the Haskell Programming Language About the Tutorial
... the side effects in imperative programs are probably the sort of variable reassignment mentioned in the last panel (whether global variables, or local, or dictionaries, lists, or other storage structures), but every I/O event is also a sort of side-effect. I/O changes the world rather than being par ...
... the side effects in imperative programs are probably the sort of variable reassignment mentioned in the last panel (whether global variables, or local, or dictionaries, lists, or other storage structures), but every I/O event is also a sort of side-effect. I/O changes the world rather than being par ...
Lisp vs Scheme
... • In Scheme, all positions in a form are evaluated the same. You can say (((f x) y) z) • This means: Functions are always lambda expressions that may (or may not) be bound to “normal” variables. ...
... • In Scheme, all positions in a form are evaluated the same. You can say (((f x) y) z) • This means: Functions are always lambda expressions that may (or may not) be bound to “normal” variables. ...
Chapter 1 - KSU Web Home
... a function whose value is the first actual parameter function applied to the application of the second Form: h ≡ f ° g which means h (x) ≡ f ( g ( x)) For f (x) ≡ x + 2 and g (x) ≡ 3 * x, h ≡ f ° g yields (3 * x)+ 2 ...
... a function whose value is the first actual parameter function applied to the application of the second Form: h ≡ f ° g which means h (x) ≡ f ( g ( x)) For f (x) ≡ x + 2 and g (x) ≡ 3 * x, h ≡ f ° g yields (3 * x)+ 2 ...
val a = 15
... – If expression is (bound to) atom, return it – Otherwise, expression is a list with head V: • If V is a special form, do the special form • Otherwise, evaluate elements in tail and apply V to tail. ...
... – If expression is (bound to) atom, return it – Otherwise, expression is a list with head V: • If V is a special form, do the special form • Otherwise, evaluate elements in tail and apply V to tail. ...
Python for Joe Cross
... for _ in xrange(n): velocities = [rndV() for i in xrange(6)] r,g,b = [rndC() for i in xrange(3)] mainParticle = velocities[:3] + [r,g,b] secondParticle = velocities[3:] + [r,g,b] ...
... for _ in xrange(n): velocities = [rndV() for i in xrange(6)] r,g,b = [rndC() for i in xrange(3)] mainParticle = velocities[:3] + [r,g,b] secondParticle = velocities[3:] + [r,g,b] ...
Abstract machine for a comonadic dataflow language
... In Chapter 2 we give an overview of comonadic dataflow languages. We start by presenting a short introduction to programming in a dataflow language Lucid Synchrone to provide some context. Next, we will introduce the notion of comonads, and present a comonadic evaluator for a higher-order non-strict ...
... In Chapter 2 we give an overview of comonadic dataflow languages. We start by presenting a short introduction to programming in a dataflow language Lucid Synchrone to provide some context. Next, we will introduce the notion of comonads, and present a comonadic evaluator for a higher-order non-strict ...
UNIFORMLY APPROACHABLE MAPS 1. Preliminaries Throughout
... let f : X → R. If there exists an uncountable Y ⊆ R such that f −1 (y) is non-empty and connected for every y ∈ Y and that ρ(f −1 (x), f −1 (y)) = 0 for every x, y ∈ Y then f is not W U A. Proof: Replacing X with f −1 (Y ), if necessary, we can assume that X = f −1 (Y ). Now, let D be a countable de ...
... let f : X → R. If there exists an uncountable Y ⊆ R such that f −1 (y) is non-empty and connected for every y ∈ Y and that ρ(f −1 (x), f −1 (y)) = 0 for every x, y ∈ Y then f is not W U A. Proof: Replacing X with f −1 (Y ), if necessary, we can assume that X = f −1 (Y ). Now, let D be a countable de ...
PPT
... • ML Core language – Skip discussion of ML assignment There are some slides that we may skip today. This outline is to help you remember what we did not skip. If we need some time in next lecture, we will do that. ...
... • ML Core language – Skip discussion of ML assignment There are some slides that we may skip today. This outline is to help you remember what we did not skip. If we need some time in next lecture, we will do that. ...
