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Models for Smooth Infinitesimal Analysis

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Models for Smooth Infinitesimal Analysis Overviews

The aim of this book is to construct categories of spaces which contain all the C?-manifolds, but in addition infinitesimal spaces and arbitrary function spaces. To this end, the techniques of Grothendieck toposes (and the logic inherent to them) are explained at a leisurely pace and applied. By discussing topics such as integration, cohomology and vector bundles in the new context, the adequacy of these new spaces for analysis and geometry will be illustrated and the connection to the classical approach to C?-manifolds will be explained.


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Graphing Calculator Manual for College Algebra and Trigonometry/Precalculus: A Right Triangle Approach

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Graphing Calculator Manual for College Algebra and Trigonometry/Precalculus: A Right Triangle Approach Overviews

This manual follows the sequence of topics in the text, and contains clear, step-by-step instructions on how to use Microsoft(R) Excel(R) and popular Texas Instruments graphing calculators.


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Practical Methods of Optimization. Volume 1: Unconstrained Optimization (v. 1)

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This book is very thorough in its treatment of select nonlinear programming techniques for both unconstrained and constrained problems. The author provides an in-depth coverage of several useful methods, including newton, quasi-newton, least-squares, penalty, augmented lagrangian, quadratic, SQP, and even discontinuous nonlinear programming. Much emphasis is placed upon various quadratic approximation methods. It should be noted that several other well-known methods are not treated in any significant detail. The author seems to have made a conscious choice to concentrate on a set of core techniques at the expense of some others. In my view, this decision makes this book an excellent reference for those wishing to better understand the nuances and implementation details for the chosen methods. For the same reason, this book is probably not as well-suited as an introduction to the broader range of optimization methods. Since there are plenty of other books to choose from for this purpose, the author's choice to focus on some core methods enables his book to stand apart quite uniquely.

While the book's content is excellent, the presentation could be improved somewhat. More examples and illustrations would help on this count, as would a better arrangement of headings and sub-headings. Since it appears that the author's intended audience are those who already have some primary knowledge of the field, this shortcoming is not significant. This is a book designed to take such readers to the next level, which it does quite well.


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Practical Methods of Optimization. Volume 1: Unconstrained Optimization (v. 1) Overviews

Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emphasizes their practical aspects in conjunction with the heuristics useful in making them perform more reliably and efficiently. To this end, it presents comparative numerical studies to give readers a feel for possibile applications and to illustrate the problems in assessing evidence. Also provides theoretical background which provides insights into how methods are derived. This edition offers revised coverage of basic theory and standard techniques, with updated discussions of line search methods, Newton and quasi-Newton methods, and conjugate direction methods, as well as a comprehensive treatment of restricted step or trust region methods not commonly found in the literature. Also includes recent developments in hybrid methods for nonlinear least squares; an extended discussion of linear programming, with new methods for stable updating of LU factors; and a completely new section on network programming. Chapters include computer subroutines, worked examples, and study questions.


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Indispensable - penguin - Seattle, WA USA
I'm a software engineer with only a BS in computer science who worked in a team translating a Matlab prototype of in-house non-linear multilevel optimizer to C++. I had no theoretical background in optimization and, during the time I was working on the project, I did not have (or bother) a chance to sit and study the subject. When I finally did and found this book, all the thick and widespread clouds over my head that persisted for years started clearing up immediately. This book may not cover the state of the art algorithms or theory but is a great place to start. It gives us a solid foundation before moving on to more specialized or theoretical topics on our own (or motivate us enough to go back to school!).


Invaluable insight - K. Dixon -
This book is a great mix of insight and rigor. The text is mixed with mathematical propositions/proofs and a lively writing style. The proofs aren't gratuitous, as opposed to most texts, but meant to build insight and demonstrate properties of algorithms. After each proof Fletcher doesn't meander in the weeds of the math, but he takes a step back and provides insight about WHAT this means for a particular algorithm.

Fletcher then highlights the algorithms by bringing in his own experience and provides insight on how the algorithms work on real problems, not just what the theory says. He writes that many algorithms, including several developed by him, are inferior to other variants on real-world problems. (Fletcher is the "F" in BFGS, DFP, and Fletcher-Reeves conjugate gradient.)

This coupling of mathematical rigor with candid insight makes this book invaluable.

On the negative side, I have found (as others have noted) a few typos, including a couple obvious ones in the pseudocode. This book is meant "to teach a man to fish," not "give a man a fish." So, if you're looking for something like Numerical Recipes that gives you verbatim software to type into your computer, then Fletcher's book isn't for you. However, after digesting Fletcher's math and insight, I have been able to reduce the computation of my (formerly NR-based) codes by an order of magnitude on some standard-battery optimizations.



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Precalculus With Limits

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We use this book, `Precalculus with Limits' by Aufmann, Barker and Nation, as the two-semester sequence at our community college for College Algebra and Trigonometry. Most students at our college do not go on to Calculus, as our two-year degrees do not require that; however, they do need a solid grounding in topics such as trigonometric functions, analytic geometry, and advanced algebraic operations for the technical programmes of electronics, drafting, and other such degrees that emphasise technology and mathematical precision.

This text begins, as do algebra books at almost all levels, with a re-introduction to number theory, including absolute values, complex numbers, polynomials, factor and rational expressions. These are assumed knowledge already for students, so this is just a refresher section. The second chapter dealing with equations and inequalities, particularly linear equations and quadratic equations, are also assumed to have been covered before, but these go into new details. This section has an interesting section entitled `Can You Trust Your Calculator?' - one of the features of this text is a special interest section at the end of each chapter that ties the concepts to real-world and scientific applications, or introduces intriguing advanced mathematical concepts.

Chapters three through five address most of what is covered in our College Algebra class. This looks at two-dimensional coordinate systems and graphing. Polynomial functions, exponential functions and logarithmic functions are all discussed.

Chapters six through eight cover trigonometry. The principles of angles and arcs, how to read circles in degrees and radians, equivalences of trigonometric functions, graphing of sine and cosine curves, vectors and equations are included here.

Chapters nine through thirteen get into advanced topics of analytic geometry and advanced algebra. These include two-dimension graphing of parabolas, ellipses, hyperbolas and conic sections, and introduces the ideas of polar coordinates and axial rotation. Three-dimensional analytic geometry is introduced, including vectors in space (a key concept in physics). Work with systems of equations, advanced work with matrix algebra, and ideas of probability, series and sequences are covered.

The final chapter is a brief introduction to the idea of calculus, introducing the concept of limits and the concept of the derivative. Our courses omit this chapter, but it is interesting and seems well suited to prepare students for the next step in mathematics, should they opt to pursue this.

The book incorporates three primary features to link mathematics concepts and mathematics models. These include `Exploring Concepts with Technology', such as the calculator example above; `Topics for Discussion' prior to each exercise set, which can include group discussion elements; and `Projects', which can involve further research and narrative elements. These pieces help engage the students with mathematics beyond the simple solve-the-problem pedagogy.

This is a very useful text, easy to follow, accessible and helpful, and a solid manual for mathematics instruction.


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Precalculus With Limits Overviews

Offering more algebra review than other texts, Precalculus with Limits encourages students to actively participate in math and focus on the link between concepts and applications. The proven Aufmann Interactive Method helps students learn the process of working out problems by providing a step-by-step example with annotations accompanied by a You-Try-It exercise. Students can then pinpoint mistakes by consulting the complete solutions in the appendix.


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