Álgebra Lineal Aplicada a las Ciencias Sociales
Álgebra Lineal Aplicada a las Ciencias Sociales

Author: Martín Díaz Rodríguez

Publisher: Universidad del Norte

Published: 2008

Total Pages: 149

ISBN-13: 9587410084

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Este manual se propone cubrir plenamente los temas de álgebra lineal que requieren los profesionales y estudiantes de Ciencias Económicas como base para el desarrollo de otras áreas como la investigación de operaciones, entre otras. Para ello se presentan los conceptos básicos de matrices, determinantes, sistemas de ecuaciones lineales. Ademas, se incluye talleres para desarrollar en Matlab, con el fin de fortalecer los conceptos básicos, así como ejemplos de aplicación y ejercicios relativos a temas económicos y financieros.

Mathematical Analysis for Business, Economics, and the Life and Social Sciences
Mathematical Analysis for Business, Economics, and the Life and Social Sciences

Author: Jagdish C. Arya

Publisher: Pearson Educación

Published: 1993

Total Pages: 852

ISBN-13: 9789684444379

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With an emphasis on techniques, this volume focuses on the applications of basic mathematics and differential and integral calculus in the field of business, economics and the life and social sciences. All mathematical theorems, proofs and concepts are described intuitively and then mathematically. Reorganized and rewritten material includes chapters on exponentials and logarithms, curve sketching and optimization, application sections of straight lines and quadratic inequalities. A new section on difference equations and expanded coverage of differential equations is included.

Systems Analysis and Operations Research
Systems Analysis and Operations Research

Author: National Research Council (U.S.). Panel on Strengthening the Capabilities of Less-Developed Countries in Systems Analysis

Publisher: National Academies

Published: 1976

Total Pages: 112

ISBN-13:

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Sa/or in theory and practice. The application of sa/or. Organizing for sa/or. Training sa/or workers. Technical assistance implications.

On the Teaching of Linear Algebra
On the Teaching of Linear Algebra

Author: J.-L. Dorier

Publisher: Springer Science & Business Media

Published: 2000-09-30

Total Pages: 302

ISBN-13: 0792365399

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This book presents the state-of-the-art research on the teaching and learning of linear algebra in the first year of university, in an international perspective. It provides university teachers in charge of linear algebra courses with a wide range of information from works including theoretical and experimental issues.

Nearrings, Nearfields And Related Topics
Nearrings, Nearfields And Related Topics

Author: Kuncham Syam Prasad

Publisher: World Scientific

Published: 2016-11-28

Total Pages: 324

ISBN-13: 981320737X

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Recent developments in various algebraic structures and the applications of those in different areas play an important role in Science and Technology. One of the best tools to study the non-linear algebraic systems is the theory of Near-rings.The forward note by G

Mathematics for Machine Learning
Mathematics for Machine Learning

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.