Search results for ""Author Yuji Kobayashi""

Beauty, purity and quality are the three guiding principles that have carried Japanese company YouKaEn from its humble beginnings to its present day pre-eminence in the field of creative floral design. Beauty is inherent in every flower, but it is the task of the designer to transcend this beauty and to create an object that is the perfect union of nature and human imagination, that is pure, refined and graceful. Yuji Kobayashi (born1963), one of the chief designers and executive manager at YouKaEn, needs no words to put this vision into practice. Flawless technique and the use of nothing but first class materials results in floral arrangements bordering on perfection. Symmetry is key in Kobayashi's arrangements presented in this book. Squares, triangles, circles and cylindrical designs are meticulously sketched out on paper and then executed with the greatest degree of precision. Take a peek into the mind of this exceptional artist and be amazed.

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This textbook is for those who want to learn linear algebra from the basics. After a brief mathematical introduction, it provides the standard curriculum of linear algebra based on an abstract linear space. It covers, among other aspects: linear mappings and their matrix representations, basis, and dimension; matrix invariants, inner products, and norms; eigenvalues and eigenvectors; and Jordan normal forms. Detailed and self-contained proofs as well as descriptions are given for all theorems, formulas, and algorithms. A unified overview of linear structures is presented by developing linear algebra from the perspective of functional analysis. Advanced topics such as function space are taken up, along with Fourier analysis, the Perron–Frobenius theorem, linear differential equations, the state transition matrix and the generalized inverse matrix, singular value decomposition, tensor products, and linear regression models. These all provide a bridge to more specialized theories based on linear algebra in mathematics, physics, engineering, economics, and social sciences. Python is used throughout the book to explain linear algebra. Learning with Python interactively, readers will naturally become accustomed to Python coding. By using Python’s libraries NumPy, Matplotlib, VPython, and SymPy, readers can easily perform large-scale matrix calculations, visualization of calculation results, and symbolic computations. All the codes in this book can be executed on both Windows and macOS and also on Raspberry Pi.

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