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Book
The fundamentals of mathematical analysis.
Authors: ---
ISBN: 0080134734 1322555796 1483139077 Year: 1965 Publisher: Oxford Pergamon Press

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Book
Math for managers
Author:
ISBN: 9781547400652 154740065X 1547400633 9781547416707 9781547400638 Year: 2019 Publisher: Boston

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Math for Managers is a practical summary of formulas every manager needs. The book is organized into logical chapters, and each formula introduced includes an example and the Excel program needed to make the process of calculation simple. It adds a practical side to the challenge of calculating the sometimes complex formulas of compound interest, rates of return, breakeven after tax liability, balance sheet and income ratios, depreciation, reports and budgets, proration, statistics, and more. Additional appendices are provided to explain incredible math shortcuts. This book will benefit managers and executives at any level within an organization, as well as academic instructors and business students. Michael C. Thomsett is a market expert, author, speaker, and coach. His many books include Stock Market Math, Candlestick Charting, The Mathematics of Options, and A Technical Approach to Trend Analysis.

Convex analysis
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ISBN: 0691015864 9780691015866 1400873177 9781400873173 0691080690 9780691080697 Year: 1970 Volume: 28 Publisher: Princeton, N.J. : Princeton University Press,

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Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that differentiability assumptions are replaced by convexity assumptions. The topics treated in this volume include: systems of inequalities, the minimum or maximum of a convex function over a convex set, Lagrange multipliers, minimax theorems and duality, as well as basic results about the structure of convex sets and the continuity and differentiability of convex functions and saddle- functions. This book has firmly established a new and vital area not only for pure mathematics but also for applications to economics and engineering. A sound knowledge of linear algebra and introductory real analysis should provide readers with sufficient background for this book. There is also a guide for the reader who may be using the book as an introduction, indicating which parts are essential and which may be skipped on a first reading.


Book
Recent progress in Fourier analysis : proceedings of the Seminar on Fourier Analysis held in El Escorial, Spain, June 30-July 5, 1983
Authors: --- ---
ISBN: 0444877452 9780444877451 9780080872223 0080872220 1281788333 9786611788339 Year: 1985 Volume: 111 Publisher: Amsterdam ; New York : New York, N.Y. : North-Holland ; Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co.,

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Recent Progress in Fourier Analysis

Foundations of genetic algorithms 6
Authors: --- ---
ISBN: 1281072893 9786611072896 0080506879 9780080506876 155860734X 9781558607347 Year: 2001 Publisher: San Francisco : Morgan Kaufmann,

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Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems.Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger


Book
Practical statistics for data scientists : 50+ essential concepts using R and Python
Authors: --- ---
ISBN: 9781492072942 Year: 2017 Publisher: Sebastopol, CA : O'Reilly,

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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.


Book
Stochastic analysis and applications to finance : essays in honour of Jia-an Yan
Authors: ---
ISBN: 9814383589 9789814383585 9814383570 9789814383578 Year: 2012 Publisher: Singapore ; Hackensack, NJ : World Scientific,

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This volume is a collection of solicited and refereed articles from distinguished researchers across the field of stochastic analysis and its application to finance. The articles represent new directions and newest developments in this exciting and fast growing area. The covered topics range from Markov processes, backward stochastic differential equations, stochastic partial differential equations, stochastic control, potential theory, functional inequalities, optimal stopping, portfolio selection, to risk measure and risk theory. It will be a very useful book for young researchers who want t


Book
Cours de mathématiques pour économistes.
Author:
ISBN: 2717807993 9782717807998 Year: 1984 Publisher: Paris : Economica,

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