Search Results - function-((((james programming) OR ((james OR names) programming))) OR (linear programming))

Arduino sketches : tools and techniques for programming wizardry by Langbridge, James A.

Table of Contents: “…Functions --…”
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Python : an Introduction to Programming. by Parker, James R.

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Assessing research-doctorate programs : a methodology study

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Hurricane climatology : a modern statistical guide using R by Elsner, James B., Jagger, Thomas H.

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Fundamentals of Object Tracking. by Challa, Subhash

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Functionalism and world politics : a study based on United Nations programs financing economic development. by Sewell, James Patrick

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Mastering predictive analytics with R : machine learning techniques for advanced models by Miller, James D.

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Linear programming and resource allocation modeling by Panik, Michael J.

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The Placenta and Human Developmental Programming. by Burton, Graham (Graham J.)

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SBIR program diversity and assessment challenges : report of a symposium

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Functional Python programming : discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads by Lott, Steven F.

Table of Contents: “…Cover -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Understanding Functional Programming -- Identifying a paradigm -- Subdividing the procedural paradigm -- Using the functional paradigm -- Using a functional hybrid -- Looking at object creation -- The stack of turtles -- A classic example of functional programming -- Exploratory data analysis -- Summary -- Chapter 2: Introducing Essential Functional Concepts -- First-class functions -- Pure functions -- Higher-order functions -- Immutable data -- Strict and non-strict evaluation -- Recursion instead of an explicit loop state -- Functional type systems -- Familiar territory -- Learning some advanced concepts -- Summary -- Chapter 3: Functions, Iterators, and Generators -- Writing pure functions -- Functions as first-class objects -- Using strings -- Using tuples and named tuples -- Using generator expressions -- Exploring the limitations of generators -- Combining generator expressions -- Cleaning raw data with generator functions -- Using lists, dicts, and sets -- Using stateful mappings -- Using the bisect module to create a mapping -- Using stateful sets -- Summary -- Chapter 4: Working with Collections -- An overview of function varieties -- Working with iterables -- Parsing an XML file -- Parsing a file at a higher level -- Pairing up items from a sequence -- Using the iter() function explicitly -- Extending a simple loop -- Applying generator expressions to scalar functions -- Using any() and all() as reductions -- Using len() and sum() -- Using sums and counts for statistics -- Using zip() to structure and flatten sequences -- Unzipping a zipped sequence -- Flattening sequences -- Structuring flat sequences -- Structuring flat sequences -- an alternative approach -- Using reversed() to change the order.…”
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The art of R programming : tour of statistical software design by Matloff, Norman S.

Table of Contents: “…7.8 Writing Upstairs7.9 Recursion; 7.10 Replacement Functions; 7.11 Tools for Composing Function Code; 7.12 Writing Your Own Binary Operations; 7.13 Anonymous Functions; 8: Doing Math and Simulations in R; 8.1 Math Functions; 8.2 Functions for Statistical Distributions; 8.3 Sorting; 8.4 Linear Algebra Operations on Vectors and Matrices; 8.5 Set Operations; 8.6 Simulation Programming in R; 9: Object-Oriented Programming; 9.1 S3 Classes; 9.2 S4 Classes; 9.3 S3 Versus S4; 9.4 Managing Your Objects; 10: Input/Output; 10.1 Accessing the Keyboard and Monitor; 10.2 Reading and Writing Files.…”
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Android programming for beginners : learn all the Java and Android skills you need to start making powerful mobile applications by Horton, John

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Project and program management : a competency-based approach by Springer, Mitchell L., 1959-

Table of Contents: “…Cover -- Copyright -- About the Author -- Contents -- List of Illustrations -- Preface -- Introduction -- Chapter 1: Program/Project Management Competencies -- Student PM Competency Model Paper Guidelines -- Chapter 2: The Importance of Program/Project Management -- Chapter 3: Process Management-Evolution and Definition -- Historical Orientation -- General Program Planning Models -- Integrated Linear Models versus Integrated Nonlinear Models -- Evaluation Methodologies and Accountability -- Composition of a Planning Process -- Chapter 4: Contract Types-What Type of Contract Should I Enter Into? …”
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Introduction to Mathematical Optimization : From Linear Programming to Metaheuristics. by Yang, Xin-She

Table of Contents: “…s Method""; ""5.3.2 Steepest Descent Method""; ""5.4 Hooke-Jeeves Pattern Search""; ""6. Linear Mathematical Programming""; ""6.1 Linear Programming""; ""6.2 Simplex Method""…”
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Optimizations and programming : linear, nonlinear, dynamic, stochastic and applications with Matlab by El Hami, Abdelkhalak

Table of Contents: “…Programmation. Linear Programming -- Integer Programming -- Dynamic Programming -- Stochastic Programming -- Optimization. …”
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Nominal sets : names and symmetry in computer science by Pitts, A. M. (Andrew M.)

Table of Contents: “…Cover; Contents; Preface; 0 Introduction; 0.1 Atomic names; 0.2 Support and freshness; 0.3 Abstract syntax with binders; 0.4 Name abstraction; 0.5 Orbit-finiteness; 0.6 Alternative formulations; 0.7 Prerequisites; 0.8 Notation; PART ONE THEORY; 1 Permutations; 1.1 The category of G-sets; 1.2 Products and coproducts; 1.3 Natural numbers; 1.4 Functions; 1.5 Power sets; 1.6 Partial functions; 1.7 Quotient sets; 1.8 Finite permutations; 1.9 Name symmetries; Exercises; 2 Support; 2.1 The category of nominal sets; 2.2 Products and coproducts; 2.3 Natural numbers; 2.4 Functions; 2.5 Power sets.…”
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Selected papers of Alan Hoffman with commentary by Hoffman, Alan J.

Table of Contents: “…Barnes -- Linear inequalities and linear programming. On approximate solutions of systems of linear inequalities -- Cycling in the simplex algorithm -- Computational experience in solving linear programs / with M. …”
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Professional test-driven development with C♯ : developing real world applications with TDD by Bender, James (Software developer)

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Mastering Splunk. by Miller, James

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