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LINEAR APPROXIMATIONPDF|Epub|txt|kindle电子书版本网盘下载
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图书目录
INTRODUCTION1
Functionals1
General linear formulas5
The effect of error in input7
The use of probability8
Efficient approximation9
Minimal response to error.Variance10
CHAPTER 1.FUNCTIONALS IN TERMS OF DERIVATIVES11
The spaces Cn,Cn,V of functions11
The space ?﹡n of functionals13
A standard form for elements of ?﹡n-114
Figure 1.Step functions and their integrals16
Inequalities19
Symmetry and skew symmetry23
Functionals that vanish for degree n-125
An approximation of ∫1 -1 x(s) ds26
An approximation of ∫1 0 x(s) ds/√s31
An approximation of the derivative x1(s) at s=1/431
Linear interpolation32
A theorem on convex families of functions33
CHAPTER 2.APPLICATIONS36
Part 1.Integrals36
Introduction.Best formulas36
The approximation of ∫m 0 x by c0x(0) +...+cmx(m)51
Best and nearly best integration formulas53
Derivation of the formulas61
m even65
m odd71
A formula of Gaussian type involving two ordinates74
Approximations of Gaussian type80
Approximations that involve derivatives81
Stepwise solution of differential equations82
Part 2.Values of functions84
Conventional interpolation with distinct arguments84
Conventional interpolation with at most q coincident arguments88
Interpolation90
Special formulas and best narrow formulas93
Broad interpolation104
Interpolations that use derivatives107
Part 3.Derivatives111
Conventional approximate differentiation111
Best formulas111
Part 4.Sums116
An instance116
CHAPTER 3.LINEAR CONTINUOUS FUNCTIONALS ON Cn118
Normed linear spaces118
Additive operators122
The adjoint space125
Riesz's Theorem127
The space C﹡n138
An illustration144
The spaces Z and Z﹡145
Taylor operators151
The operator δ154
The spaces Bn and Kn155
CHAPTER 4.FUNCTIONALS IN TERMS OF PARTIAL DERIVATIVES160
The space Bp,q160
Taylor's formula162
The spaces ?﹡p,q and Bp,q170
The spaces B181
The spaces ?﹡ and B194
Symmetry202
Appraisals203
Figures and tables206
CHAPTER 5.APPLICATIONS214
Approximation of an integral in terms of its integrand at the center of mass214
Circular domain of integration221
Use of several values of the integrand224
Use of derivatives of the integrand226
A functional not in ?﹡ unless n is large229
Circular domain and partial derivatives230
An interpolation232
Double linear interpolation232
An approximate differentiation233
CHAPTER 6.LINEAR CONTINUOUS FUNCTIONALS ON B,Z,K240
The norm in B240
Riesz's Theorem242
The space B﹡246
The space ?﹡249
Illustration252
The operators δs and δt256
The spaces Z and Z﹡256
The space K262
The norm in K265
The space K﹡266
K﹡ as a subspace of B﹡269
CHAPTER 7.FUNCTIONS OF m VARIABLES271
The space B271
The full core ф274
The norm in B278
Functions of bounded variation279
The space B﹡279
The space ?﹡280
The spaces Z and Z﹡281
The covered core281
The retracted core ρ and the space K284
The norm in K286
The space K﹡287
The space ?﹡288
K﹡ as a subspace of B﹡289
Illustration290
Figures and tables295
CHAPTER 8.FACTORS OF OPERATORS300
Banach spaces301
Baire's Theorem303
The inverse of a linear continuous map305
The factor space X/X0308
The quotient theorem310
Import thereof313
An instance in which U=Dns314
Related instances315
U a linear homogeneous differential operator316
Approximation of a function by a solution of a linear homogeneous differential equation316
A trigonometric approximation322
An instance in which U involves difference operators324
Functions of several variables325
Use and design of machines326
CHAPTER 9.EFFICIENT AND STRONGLY EFFICIENT APPROXIMATION328
Norms based on integrals328
Inner product spaces.Hilbert spaces329
Orthogonality331
L2-spaces and other function spaces333
The Pythagorean theorem and approximation337
Bases.Fourier coefficients340
Projections344
Orthogonalization345
Elementary harmonic analysis of a derivative349
The direct sum of two Hilbert spaces353
The direct product of two Hilbert spaces354
Direct products and function spaces358
Matrices369
Probability spaces370
Extension of operators to direct products372
The general problem of approximation377
Efficient and strongly efficient approximation382
Digression on unbiased approximation385
Characterization of efficient operators385
Calculation of operators near efficiency389
Conditions that L°=L390
The subspaces Mt392
Characterization of strongly efficient operators393
A sufficient condition for strong efficiency400
Applications404
Smoothing of one observation410
Weak efficiency414
Approximation based on a table of contaminated values415
Use of the nearest tabular entry419
Use of the two nearest tabular entries421
Estimation of the pertinent stochastic processes423
Stationary data430
The roles of the correlations in ψ432
The spaces Mt434
The normal equation438
A calculation441
CHAPTER 10.MINIMAL RESPONSE TO ERROR443
Minimal response among unbiased approximations443
Minimal operators and projections446
Linear continuous functionals on a Hilbert space.Adjoint operators451
Operators of finite Schmidt norm454
Trace458
Nonnegative operators.Square roots458
The variance of δx460
Variance and inner product468
Minimality in terms of variance469
A digression on statistical estimation473
Partitioned form474
Minimizing sequences477
The approximation of x by A(x+δx)480
Illustration481
Least square approximation491
Existence thereof493
The choice of a suitable weight494
CHAPTER 11.THE STEP FUNCTIONS θ AND ψ496
Introduction496
Formulas of integration497
CHAPTER 12.STIELTJES INTEGRALS,INTEGRATION BY PARTS,FUNCTIONS OF BOUNDED VARIATION500
The integral ∫ā ɑx(s) df(s)500
Increasing functions503
Functions of bounded variation503
Integration relative to a function of bounded variation506
∣f∣-null sets509
The Lebesgue integral510
Absolutely continuous masses514
m-fold integrals515
Intervals and increments519
The extension of a function521
Entirely increasing functions521
Functions of bounded variation524
The variations of f526
Integration relative to a function of bounded variation529
The Lebesgue double integral533
Absolutely continuous masses534
BIBLIOGRAPHY535
INDEX AND LIST OF SYMBOLS539