000			a
999			_c33314 _d33314
008			241117b xxu||||| |||| 00| 0 eng d
020			_a9781032677866
082			_a515.39 _bGUL
100			_aGulick, Denny
245			_aEncounters with chaos and fractals
250			_a3rd ed.
260			_bCRC Press, _c2024 _aBoca Raton :
300			_axv, 398 p. ; _bill., _c24 cm.
365			_b5882.00 _c₹ _d01
504			_aIncludes bibliographical references and index.
520			_aThe far-reaching interest in chaos and fractals are outgrowths of the computer age. On the one hand, the notion of chaos is related to dynamics, or behavior, of physical systems. On the other hand, fractals are related to geometry, and appear as delightful but in nitely complex shapes on the line, in the plane or in space. Encounters with Chaos and Fractals is designed to give an introduction both to chaotic dynamics and to fractal geometry. During the past fty years the topics of chaotic dynamics and fractal geometry have become increasingly popular. Applications have extended to disciplines as diverse an electric circuits, weather prediction, orbits of satellites, chemical reactions, analysis of cloud formations and complicated coast lines, and the spread of disease. A fundamental reason for this popularity is the power of the computer, with its ability to produce complex calculations, and to create fascinating graphics. The computer has allowed scientists and mathematicians to solve problems in chaotic dynamics that hitherto seemed intractable, and to analyze scienti c data that in earlier times appeared to be either random or awed. Fractals, on the other hand, are basically geometric, but depend on many of the same mathematical properties that chaotic dynamics do. Mathematics lies at the foundation of chaotic dynamics and fractals. The very concepts that describe chaotic behavior and fractal graphs are mathematical in nature, whether they be analytic, geometric, algebraic or probabilistic. Some of these concepts are elementary, others are sophisticated. There are many books that discuss chaos and fractals in an expository manner, as there are treatises on chaos theory and fractal geometry written at the graduate level"-- Periodic Points Iterates of Functions Fixed Points Periodic Points Families of Functions The Quadratic Family Bifurcations Period-3 Points The Schwarzian Derivative One-Dimensional Chaos Chaos Transitivity and Strong Chaos Conjugacy Cantor Sets Two-Dimensional Chaos Review of Matrices Dynamics of Linear FunctionsNonlinear Maps The Hénon Map The Horseshoe Map Systems of Differential Equations Review of Systems of Differential Equations Almost Linearity The Pendulum The Lorenz System Introduction to Fractals Self-Similarity The Sierpiński Gasket and Other "Monsters"Space-Filling Curves Similarity and Capacity DimensionsLyapunov Dimension Calculating Fractal Dimensions of Objects Creating Fractals Sets Metric Spaces The Hausdorff Metric Contractions and Affine Functions Iterated Function SystemsAlgorithms for Drawing Fractals Complex Fractals: Julia Sets and the Mandelbrot Set Complex Numbers and Functions Julia Sets The Mandelbrot Set Computer Programs Answers to Selected Exercises References Index.
650			_aMathematics General
650			_a2-cycle
650			_aAffine function
650			_aAttracting fixed point
650			_aBasin of attraction
650			_aCantor set
650			_aCauchy sequence
650			_aCompact set
650			_aCritical point
650			_aEigenvalues
650			_aHomeomorphism
650			_aJulia set
650			_aLyapunov dimension
650			_aMandelbrot set
650			_aPeriodic points
650			_aSchwarzian derivative
650			_aSelf-similar
650			_aSpace-filling curve
700			_aFord, Jeff
942			_2ddc _cBK