Tabla de Contenidos: “…12.4 Growing Multicellular Organisms -- 12.4.1 Resisting to Extern Aggressions -- 12.4.2 Resisting to Aggression and Starvation -- 12.5 Driving a Virtual Car -- 12.6 Regulating Behaviors -- 12.7 Conclusion -- References -- 13 Evolving H-GRNs for Morphogenetic Adaptive Pattern Formation of Swarm Robots -- 13.1 Introduction -- 13.2 Problem Statement -- 13.3 H-GRN Model with Region-Based Shape Control -- 13.3.1 Upper Layer: Region Generation -- 13.3.2 Lower Layer: Region-Based Shape Control -- 13.3.3 Implementation Issues -- 13.3.4 Numerical Simulations -- 13.4 Evolving H-GRN Using Network Motifs -- 13.4.1 Basic Network Motifs -- 13.4.2 Upper Layer of the EH-GRN -- 13.4.3 Lower Layer of the EH-GRN -- 13.4.4 Numerical Simulations -- 13.5 Conclusions and Future Work -- Acknowledgment -- Appendix -- A.13.1 Convergence Proof -- A.13.2 Position and Velocity Estimation -- References -- 14 Regulatory Representations in Architectural Design -- 14.1 Introduction -- 14.2 Background -- 14.3 The Need for Regulatory Representations -- 14.4 Developmental Mapping -- 14.4.1 Encoding -- 14.4.2 Representation -- 14.4.3 Experimental Results -- 14.5 Robustness and Evolutionary Adaptation in Biological Systems -- 14.5.1 Hypothesis -- 14.5.2 Experimental Results -- 14.5.3 Canalization of Gene Networks -- 14.5.4 Neutral Shaping of Canalized Gene Networks -- 14.5.5 Neutral Mutations Contribute to Evolutionary Innovations -- 14.6 Conclusions and Discussion -- Acknowledgments -- References -- 15 Computing with Artificial Gene Regulatory Networks -- 15.1 Introduction -- 15.2 Biological GRNs -- 15.3 Computational Models -- 15.4 Modeling Decisions -- 15.5 Computational Properties of AGRNs -- 15.6 AGRN Models and Applications -- 15.6.1 Boolean Networks -- 15.6.2 Artificial Genome Models -- 15.6.3 Artificial Development -- 15.6.4 Fractal Gene Regulatory Networks…”

Tabla de Contenidos: “…Recursion -- 15.1 Introduction -- 15.2 Case Study: Computing Factorials -- 15.3 Case Study: Computing Fibonacci Numbers -- 15.4 Problem Solving Using Recursion -- 15.5 Recursive Helper Functions -- 15.6 Case Study: Finding the Directory Size -- 15.7 Case Study: Tower of Hanoi -- 15.8 Case Study: Fractals -- 15.9 Case Study: Eight Queens -- 15.10 Recursion vs. …”

“…Thus, the modern theory of fractals and multifractals now plays a major role in turbulence research, and turbulent states are being studied as important dynamical states of matter occurring also in systems outside the realm of hydrodynamics, i.e. chemical reactions or front propagation. …”
Sumario

“…Multifractal Financial Markets explores appropriate models for estimating risk and profiting from market swings, allowing readers to develop enhanced portfolio management skills and strategies. Fractals in finance allow us to understand market instability and persistence. …”

“…Conocedor de que la interpretación y la capacidad de transmisión de conocimiento es lo que marca a un entrenador, no ha escatimado en darnos detalles de cómo aplica “fractales” de diversas teorías en su preparación del equipo –MC Sports-…”

“…It contains 45 chapters that are categorized broadly into five parts (i) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences…”

“…The book also explains with clarity the theoretical foundations of geographical analysis, the delicate operations of model selection, and the applications of fractals and scaling laws. These applications include gaining knowledge of the morphology of cities and the organization of urban transport, and finding new methods of building and exploring simulation models and visualizations of data and results…”

“…You'll also use mathematics to model fractals and particle systems. Going beyond that, Beginning WebGL for HTML5 presents advanced vertex and fragment shader usage for creating stunning, top-end results. …”

“…New to this edition: We've expanded your playground with five new projects: you'll draw fractals, bring Conway's Game of Life into 3D space, and use a Raspberry Pi and Python to create a musical instrument, an IoT garden monitor, and even a machine learning-driven speech recognition system. …”

“…Introduces a wide range of traditional and advanced image interpolation methods concisely and provides thorough treatment of theoretical foundations Discusses in detail the assumptions and limitations of presented algorithms Investigates a variety of interpolation and implementation methods including transform domain, edge-directed, wavelet and scale-space, and fractal based methods Features simulation results for comparative analysis, summaries and computational and analytical exercises at the end of each chapter Digital Image Interpolation in Matlab® is an excellent guide for researchers and engineers working in digital imaging and digital video technologies. …”

“…In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise…”

“…Emphasizes numerical stability and performance of algorithms (computational complexity) Focuses on explainable AI/interpretable machine learning, with heavy use of synthetic data and generative models, a new trend in the field Includes new, easier construction of confidence regions, without statistics, a simple alternative to the powerful, well-known XGBoost technique Covers automation of data cleaning, favoring easier solutions when possible Includes chapters dedicated fully to synthetic data applications: fractal-like terrain generation with the diamond-square algorithm, and synthetic star clusters evolving over time and bound by gravity…”

“…Aimed at graduate students and researchers, this textbook serves as a foundational resource for understanding essential concepts in modern statistical physics, such as disorder, scaling, and fractal geometry…”

“…Sus últimos libros son las novelas Centroeuropa (Galaxia Gutenberg, 2020) y Fred Cabeza de Vaca (Sexto Piso, 2017), el libro de poemas Serie (Pre-Textos, 2015), el dietario Micronesia. Fractales de literatura [1997-2021] (Universidad de Valladolid, 2021), la monografía La escritura a la intemperie. …”

“…While we cannot avoid the ambiguities inherent to the categories through which we construct our world, the book urges us to reconceptualize the ways in which we think about boundaries - not just the solid line of notation, but also the permeable membrane of ritualization and the fractal complexity of shared experience…”

“…Entre lo que han generado tenemos los Algoritmos Genéticos, la `Computing With Wordś, el Control Difuso de Sistemas, las Redes Neuronales Artifi ciales, los Fractales, la Teoría del Caos, etc…”

“…The concept of order parameter leads to a discussion of phase transitions, elasticity and dynamics, followed by a review of fractals and growth phenomena. A significant portion of the book deals with defects of topological nature that accompany various types of order. …”

“…Toda esta génesis de elementos y sus propiedades emergentes (Morin, 1994) se deben abordar desde una perspectiva integral, pero sin dejar de prestar atención a expresiones inferiores no aisladas o fractales con el fin de poder comprenderlos en su totalidad y de esta manera optar a un mejor entendimiento sobre los comportamientos de aquell@s que ?…”
Texto completo en Odilo

“…You'll also enjoy intriguing topics such as searching for patterns in prime numbers, generating random numbers, computing thousands of digits of pi, and creating intricately beautiful fractal images. Java Number Cruncher includes: Practical information all Java programmers should know Popular computational algorithms in Java-without excessive mathematical theory Interactive graphical programs that bring the algorithms to life on the computer screen Rounding errors, the pitfalls of integer arithmetic, Java's implementation of the IEEE 754 floating-point standard, and more This book is useful to all Java programmers, especially for those who want to learn about numerical computation, and for developers of scientific, financial, and data analysis applications…”