This is a simple guide to search engine optimization, written in layman's simplicity, geared specifically toward authors and using the best genre keywords for writers to use on blogs and book distributors such as Amazon. It is basic, basic, basic. No mention of HTML or any kind of coding. In fact, if you dabble in website coding or have any previous knowledge of how basic SEO works, keep on scrolling to other optimization guides. I know, I know. Book descriptions are supposed to encourage buying of this particular book. And you should if you are brand spanking new to how search engines and web crawlers work. But if you're looking for more advanced coding, this isn't the guide for that. Not by a long shot. So writers and bloggers new to search engine optimization, this short (25 pages) guide with screen shot examples is ideal. More advanced SEO specialists...move along. From Author Lavender Daye: "Most of the writers who buy this will be like me: desperately in need of the information and how to incorporate it, but with little (or slowly developing) techno savvy."
Initial training in pure and applied sciences tends to present problem-solving as the process of elaborating explicit closed-form solutions from basic principles, and then using these solutions in numerical applications. This approach is only applicable to very limited classes of problems that are simple enough for such closed-form solutions to exist. Unfortunately, most real-life problems are too complex to be amenable to this type of treatment. Numerical Methods - a Consumer Guide presents methods for dealing with them.
Shifting the paradigm from formal calculus to numerical computation, the text makes it possible for the reader to
Â· discover how to escape the dictatorship of those particular cases that are simple enough to receive a closed-form solution, and thus gain the ability to solve complex, real-life problems;
Â· understand the principles behind recognized algorithms used in state-of-the-art numerical software;
Â· learn the advantages and limitations of these algorithms, to facilitate the choice of which pre-existing bricks to assemble for solving a given problem; and
Â· acquire methods that allow a critical assessment of numerical results.
Numerical Methods - a Consumer Guide will be of interest to engineers and researchers who solve problems numerically with computers or supervise people doing so, and to students of both engineering and applied mathematics.
It was in the middle of the 1980s, when the seminal paper by KarÂ markar opened a new epoch in nonlinear optimization. The importance of this paper, containing a new polynomial-time algorithm for linear opÂ timization problems, was not only in its complexity bound. At that time, the most surprising feature of this algorithm was that the theoretical preÂ diction of its high efficiency was supported by excellent computational results. This unusual fact dramatically changed the style and direcÂ tions of the research in nonlinear optimization. Thereafter it became more and more common that the new methods were provided with a complexity analysis, which was considered a better justification of their efficiency than computational experiments. In a new rapidly developÂ ing field, which got the name "polynomial-time interior-point methods", such a justification was obligatory. Afteralmost fifteen years of intensive research, the main results of this development started to appear in monographs [12, 14, 16, 17, 18, 19]. Approximately at that time the author was asked to prepare a new course on nonlinear optimization for graduate students. The idea was to create a course which would reflect the new developments in the field. Actually, this was a major challenge. At the time only the theory of interior-point methods for linear optimization was polished enough to be explained to students. The general theory of self-concordant functions had appeared in print only once in the form of research monograph .
This volume of Progress in Brain Research is based on the proceedings of a conference, "Using Eye Movements as an Experimental Probe of Brain Function," held at the Charing Cross Hospital Campus of Imperial College London, UK on 5th -6th December, 2007 to honor Professor Jean Buttner-Ennever. With 87 contributions from international experts - both basic scientists and clinicians - the volume provides many examples of how eye movements can be used to address a broad range of research questions. Section 1 focuses on extraocular muscle, highlighting new concepts of proprioceptive control that involve even the cerebral cortex. Section 2 comprises structural, physiological, pharmacological, and computational aspects of brainstem mechanisms, and illustrates implications for disorders as diverse as opsoclonus, and congenital scoliosis with gaze palsy. Section 3 addresses how the cerebellum transforms neural signals into motor commands, and how disease of such mechanisms may lead to ataxia and disorders such as oculopalatal tremor. Section 4 deals with sensory-motor processing of visual, vestibular, somatosensory, and auditory inputs, such as are required for navigation, and gait. Section 5 illustrates how eye movements, used in conjunction with single-unit electrophysiology, functional imaging, transcranial magnetic stimulation, and lesion studies have illuminated cognitive processes, including memory, prediction, and even free will. Section 6 includes 18 papers dealing with disorders ranging from congenital to acquired forms of nystagmus, genetic and degenerative neurological disorders, and treatments for nystagmus and motion sickness.
In view of Professor Wendell Fleming's many fundamental contributions, his profound influence on the mathematical and systems theory communi- ties, his service to the profession, and his dedication to mathematics, we have invited a number of leading experts in the fields of control, optimiza- tion, and stochastic systems to contribute to this volume in his honor on the occasion of his 70th birthday. These papers focus on various aspects of stochastic analysis, control theory and optimization, and applications. They include authoritative expositions and surveys as well as research papers on recent and important issues. The papers are grouped according to the following four major themes: (1) large deviations, risk sensitive and Hoc control, (2) partial differential equations and viscosity solutions, (3) stochastic control, filtering and parameter esti- mation, and (4) mathematical finance and other applications. We express our deep gratitude to all of the authors for their invaluable contributions, and to the referees for their careful and timely reviews. We thank Harold Kushner for having graciously agreed to undertake the task of writing the foreword. Particular thanks go to H. Thomas Banks for his help, advice and suggestions during the entire preparation process, as well as for the generous support of the Center for Research in Scientific Computation. The assistance from the Birkhauser professional staff is also greatly appreciated.