 Home | Amazing | Today | Tags | Publishers | Years | Account | Search      Differential Equations: An Introduction with Mathematica® (Undergraduate Texts in Mathematics) The first edition (94301-3) was published in 1995 in TIMS and had 2264 regular US sales, 928 IC, and 679 bulk. This new edition updates the text to Mathematica 5.0 and offers a more extensive treatment of linear algebra. It has been thoroughly revised and corrected throughout. ...   Solving Nonlinear Partial Differential Equations with Maple and Mathematica The emphasis of the book is given in how to construct different types of solutions (exact, approximate analytical, numerical, graphical) of numerous nonlinear PDEs correctly, easily, and quickly. The reader can learn a wide variety of techniques and solve numerous nonlinear PDEs included and many other differential equations, simplifying...   Mathematica DeMYSTiFiedNeed to learn MATHEMATICA? Problem SOLVED! Take full advantage of all the powerful capabilities of Mathematica with help from this hands-on guide. Filled with examples and step-by-step explanations, Mathematica Demystified takes you from your very first calculation all the way to plotting complex fractals. ...  Experiments in Undergraduate Mathematics: A Mathematica-Based ApproachAll students need to master a variety of mathematical tools and concepts at the start of their university career. This distinctive book helps students learn these by doing. The approach is interactive, using experiments, performed in the symbolic algebra package Mathematica, to impart the fundamentals of many of the topics students encounter. A...   The Mathematica GuideBook for Numerics Computers were initially developed to expedite numerical calculations. A newer, and in the long run, very fruitful field is the manipulation of symbolic expressions. When these symbolic expressions represent mathematical entities, this field is generally called computer algebra . Computer algebra begins with relatively...   Python for Data Science For Dummies (For Dummies (Computer/Tech)) Unleash the power of Python for your data analysis projectswith For Dummies! Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to...  Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection (Intelligent Systems Reference Library) This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving...   Advanced Engineering Mathematics Advanced Engineering Mathematics provides comprehensive and contemporary coverage of key mathematical ideas, techniques, and their widespread applications, for students majoring in engineering, computer science, mathematics and physics. Using a wide range of examples throughout the book, Jeffrey illustrates how to construct simple...   Mathematica by Example Mathematica bv Example is intended to bridge the gap which has existed between the very elementary handbooks available on Mathematica and those reference books written for the more advanced Mathematica users. This book is an extension of a manuscript which was developed to quickly introduce enough Mathematica commands to a group of...  Exploring Scanning Probe Microscopy with MATHEMATICAThis second edition of the book Exploring Scanning Probe Microscopy with Mathematica is a revised and extended version of the first edition. It consists of a collection of self-contained, interactive, computational examples from the fields of scanning tunneling microscopy, scanning force microscopy, and related technologies, using Mathematica...   Clojure Data Analysis Cookbook Make more of your data using Clojure and this brilliant cookbook full of real-world recipes. From creating revealing graphs to using data analysis libraries, you'll learn both the basics and advanced techniques. Overview Get a handle on the torrent of data the modern Internet has created ...   Computer Science with MATHEMATICA ®: Theory and Practice for Science, Mathematics, and Engineering Computer algebra systems have revolutionized the use of computers within mathematics research, and are currently extending that revolution to the undergraduate mathematics curriculum. But the power of such systems goes beyond simple algebraic or numerical manipulation. In this practical resource Roman Maeder shows how computer-aided... Result Page: 7 6 5 4 3 2 1