Empfehlungen basierend auf "Simply Maths"

Do high-speed, complicated arithmetic in your head using the Trachtenberg Speed System.Ever find yourself struggling to check a bill or a payslip? With The Trachtenberg Speed System you can. Described as the 'shorthand of mathematics', the Trachtenberg system only requires the ability to count from one to eleven. Using a series of simplified keys it allows anyone to master calculations, giving greater speed, ease in handling numbers and increased accuracy.Jakow Trachtenberg believed that everyone is born with phenomenal abilities to calculate. He devised a set of rules that allows every child to make multiplication, division, addition, subtraction and square-root calculations with unerring accuracy and at remarkable speed. It is the perfect way to gain confidence with numbers.

The handbook of Mathematics has been designed for the students studying in Class XI XII to act as the revision cum Quick Study Resource for various concepts of Mathematics. This handbook is a multipurpose quick revision resource with unique format which displays concepts clearly places them in context and crisply identifies and describes all the factors involved. This handbook has been divided into 40 chapters namely Sets Relations amp Binary Operations Complex Numbers Quadratic Equations amp Inequalities Sequences amp Series Permutations amp Combinations Binomial Theorem amp Mathematical Induction Matrices Determinant Probability Trigonometric Ratios amp Identities Inverse Trigonometric Functions Solution of Triangles Heights amp Distances Rectangular Axis amp Straight Lines Circles Parabola Ellipse Hyperbola Functions Limits Continuity amp Differentiability Derivatives Applications of Derivatives Indefinite Integrals Definite Integrals Applications of Integration Differential Equations Vectors Three Dimensional Geometry Statistics Mathematical Reasoning amp Boolean Algebra Numerical Method Linear Programming Problem Computing Group Theory Elementary Arithmetic-I Elementary Arithmetic-II Percentage amp Its Applications Elementary Algebra Logarithm Geometry and Mensuration. The study material of the book has been prepared in the form of compendium consisting of all important topics such as concepts definitions principles and procedures well illustrated with examples and diagrams. In the nutshell this book can be used as a compact and portable reference book for study purpose and for general reference. Due to its simple information and lucid language it can also be used for general reference. This book will prove to be highly useful for aspirants preparing for competitive examinations like CET-BBA JEE Main amp Advanced CS etc. About the Author

A Programmer's Introduction to Mathematics uses your familiarity with ideas from programming and software to teach mathematics. You'll learn about the central objects and theorems of mathematics, including graphs, calculus, linear algebra, eigenvalues, optimization, and more. You'll also be immersed in the often unspoken cultural attitudes of mathematics, learning both how to read and write proofs while understanding why mathematics is the way it is. Between each technical chapter is an essay describing a different aspect of mathematical culture, and discussions of the insights and meta-insights that constitute mathematical intuition. As you learn, we'll use new mathematical ideas to create wondrous programs, from cryptographic schemes to neural networks to hyperbolic tessellations. Each chapter also contains a set of exercises that have you actively explore mathematical topics on your own. In short, this book will teach you to engage with mathematics. A Programmer's Introduction to Mathematics is written by Jeremy Kun, who has been writing about math and programming for 10 years on his blog "Math Intersect Programming." As of 2020, he works in datacenter optimization at Google.The second edition includes revisions to most chapters, some reorganized content and rewritten proofs, and the addition of three appendices.

In chess the Caro-Kann opening is one of Black's most reliable answers to 1.e4. It is a regular favorite of elite players, who know that computer-aided preparation now threatens the sharpest lines of the Sicilian or Ruy Lopez (at the very least with a forced draw). The Caro-Kann is less susceptible to such forcing lines - Black sets out to equalize in the opening, and win the game later.Grandmaster Lars Schandorff reveals a bulletproof chess opening repertoire and lucidly explains how Black should play the middlegame and endgame.

Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Please visit www.nr.com or www.cambridge.org/us/numericalrecipes for more details. More information concerning licenses is available at: www.nr.com/licenses New key features: 2 new chapters, 25 new sections, 25% longer than Second Edition Thorough upgrades throughout the text Over 100 completely new routines and upgrades of many more. New Classification and Inference chapter, including Gaussian mixture models, HMMs, hierarchical clustering, Support Vector MachinesNew Computational Geometry chapter covers KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres New sections include interior point methods for linear programming, Monte Carlo Markov Chains, spectral and pseudospectral methods for PDEs, and many new statistical distributions An expanded treatment of ODEs with completely new routines Plus comprehensive coverage of linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory

If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies