When you want to find visual complex analysis, you may need to consider between many choices. Finding the best visual complex analysis is not an easy task. In this post, we create a very short list about top 11 the best visual complex analysis for you. You can check detail product features, product specifications and also our voting for each product. Let’s start with following top 11 visual complex analysis:
Reviews
1. Visual Complex Functions: An Introduction with Phase Portraits
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Used Book in Good ConditionDescription
This book provides a systematic introduction to functions of one complex variable. Its novel feature is the consistent use of special color representations so-called phase portraits which visualize functions as images on their domains.
Reading Visual Complex Functions requires no prerequisites except some basic knowledge of real calculus and plane geometry. The text is self-contained and covers all the main topics usually treated in a first course on complex analysis. With separate chapters on various construction principles, conformal mappings and Riemann surfaces it goes somewhat beyond a standard programme and leads the reader to more advanced themes.
In a second storyline, running parallel to the course outlined above, one learns how properties of complex functions are reflected in and can be read off from phase portraits. The book contains more than 200 of these pictorial representations which endow individual faces to analytic functions. Phase portraits enhance the intuitive understanding of concepts in complex analysis and are expected to be useful tools for anybody working with special functions even experienced researchers may be inspired by the pictures to new and challenging questions.
Visual Complex Functions may also serve as a companion to other texts or as a reference work for advanced readers who wish to know more about phase portraits.
2. StatCrunch -- Standalone Access Card (12-month access)
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Used Book in Good ConditionDescription
StatCrunch is online statistical software that allows users to perform complex analyses, share data sets, and generate compelling reports of their data. Developed by Webster West of Texas A&M University, StatCrunch.com already has more than 13,000 data sets available for students to analyze, covering almost any topic of interest. Interactive graphics help users understand statistical concepts and are available for export to enrich reports with visual representations of data. The StatCrunch statistics software is also integrated into MyStatLab, enabling students to analyze and interpret data sets from the textbook.3. Complex Visual Motion Analysis via Probabilistic Variational Methods: A Distributed and Collaborative Approach
Description
The explosive growth of the internet have accumulated gigantic amount of visual data. Management and retrieval of relevant information from it become a more and more difficult task. Moreover, as security becomes an important issue, there are numerous surveillance cameras all around the world which accumulate terabytes of video data every day. How to intelligently analyze these video data becomes a big challenge. These largely explain the boom of the research on complex motion analysis, the understanding of which would be essential for higher level tasks such as visual recognition and content understanding. This book provides a general framework on complex motion analysis based on probabilistic variational method. It provides a distributed computational paradigm, since each motion component is analyzed individually, with the constraints from the other components being reinforced. It is also a collaborative approach, since it naturally integrates multiple information cues to obtain the optimal solution.4. Visual Group Theory (MAA Problem Book Series)
Description
Group theory is the branch of mathematics that studies symmetry, found in crystals, art, architecture, music and many other contexts, but its beauty is lost on students when it is taught in a technical style that is difficult to understand. Visual Group Theory assumes only a high school mathematics background and covers a typical undergraduate course in group theory from a thoroughly visual perspective. The more than 300 illustrations in Visual Group Theory bring groups, subgroups, homomorphisms, products, and quotients into clear view. Every topic and theorem is accompanied with a visual demonstration of its meaning and import, from the basics of groups and subgroups through advanced structural concepts such as semidirect products and Sylow theory.5. Visual Complex Analysis
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Oxford University Press USADescription
This radical first course on complex analysis brings a beautiful and powerful subject to life by consistently using geometry (not calculation) as the means of explanation. Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack of advanced prerequisites, and consciously user-friendly prose style will help students to master the subject more readily than was previously possible. The key to this is the book's use of new geometric arguments in place of the standard calculational ones. These geometric arguments are communicated with the aid of hundreds of diagrams of a standard seldom encountered in mathematical works. A new approach to a classical topic, this work will be of interest to students in mathematics, physics, and engineering, as well as to professionals in these fields.6. Complex Variables (Dover Books on Mathematics)
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Complex Variables Harmonic and Analytic FunctionsDescription
Those familiar with mathematics texts will note the fine illustrations throughout and large number of problems offered at the chapter ends. An answer section is provided. Students weary of plodding mathematical prose will find Professor Flanigan's style as refreshing and stimulating as his approach.
7. Numerical Methods with VBA Programming
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Used Book in Good ConditionDescription
Numerical Methods with VBA Programming provides a unique and unified treatment of numerical methods and VBA computer programming, topics that naturally support one another within the study of engineering and science. This engaging text incorporates real-world scenarios to motivate technical material, helping students understand and retain difficult and key concepts. Such examples include comparing a two-point boundary value problem to determining when you should leave for the airport to catch a scheduled flight.Numerical examples are accompanied by closed-form solutions to demonstrate their correctness. Within the programming sections, tips are included that go beyond language basics to make programming more accessible for students. A unique section suggest ways in which the starting values for non-linear equations may be estimated. Flow charts for many of the numerical techniques discussed provide general guidance to students without revealing all of the details. Useful appendices provide summaries of Excel and VBA commands, Excel functions accessible in VBA, basics of differentiation, and more!
8. statCrunch -- Standalone Access Card (6-month access)
Description
StatCrunch is online statistical software that allows users to perform complex analyses, share data sets, and generate compelling reports of their data. Developed by Webster West of Texas A&M University, StatCrunch.com already has more than 13,000 data sets available for students to analyze, covering almost any topic of interest. Interactive graphics help users understand statistical concepts and are available for export to enrich reports with visual representations of data. The StatCrunch statistics software is also integrated into MyStatLab, enabling students to analyze and interpret data sets from the textbook.9. Visual Complex Analysis Hardcover March 27, 1997
10. Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection (Intelligent Systems Reference Library)
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Foundations of Computer Vision Computational Geometry Visual Image Structures and Object Shape Detection Intelligent Systems Reference LibraryDescription
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 CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classication of image regions. Algorithms provide a practical, step-by-step means of viewing image structures.
The implementations of CV methods in Matlab and Mathematica, classication of chapter problems with the symbols(easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and rst year graduate students in Engineering, Computer Science or Applied Mathematics.
It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.
11. Online Social Media Analysis and Visualization (Lecture Notes in Social Networks)
Description
This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.
