1 I D E F 1 X のカーディナリティ
263 3 自検例の紹介 0 Fig. 1 LVDd 28.0 mm, 150 of normal Fig M L PA M u l t i p l e x l i g a t i o n - d e p e n d e n t p r o b e amplification
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f(x) x S (optimal solution) f(x ) (optimal value) f(x) (1) 3 GLPK glpsol -m -d -m glpsol -h -m -d -o -y --simplex ( ) --interior --min --max --check -
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1 : f(z = re iθ ) = u(r, θ) + iv(r, θ). (re iθ ) 2 = r 2 e 2iθ = r 2 cos 2θ + ir 2 sin 2θ r f(z = x + iy) = u(x, y) + iv(x, y). (x + iy) 2 = x 2 y 2 +
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C 1 -path x t x 1 (f(x u), dx u ) rough path analyi p-variation (1 < p < 2) rough path 2 Introduction f(x) = (fj i(x)) 1 i n,1 j d (x R d ) (n, d) Cb
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68 JAXA-RR r v m Ó e ε 0 E = - Ó/ r f f 0 f 1 f = f 0 + f 1 x k f 1 = f k e ikx Ó = Ó k e ikx Ó k 3
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2 1,, x = 1 a i f i = i i a i f i. media ( ): x 1, x 2,..., x,. mode ( ): x 1, x 2,..., x,., ( ). 2., : box plot ( ): x variace ( ): σ 2 = 1 (x k x) 2
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(a) (i) (a) (b) (c) (d) (e) (f) (g) (h) ( ) (i) (a),, 1, ,,, 1, HP,, 1, 3 /, (f)
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80 X 1, X 2,, X n ( λ ) λ P(X = x) = f (x; λ) = λx e λ, x = 0, 1, 2, x! l(λ) = n f (x i ; λ) = i=1 i=1 n λ x i e λ i=1 x i! = λ n i=1 x i e nλ n i=1 x
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1 1 Lambert Adolphe Jacques Quetelet ( ) [ ] 1 (1 ) n x 1, x 2,..., x n x a 1 a i a m f f 1 f i f m n 1.1 ( ( ))
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1 1 (metamathematics) ( ) ( ) ( ) a b = c d = e f a b = c d = e f = pa + qc pb + qd = pa + qc + re pb + qd + rf a b = c d = e f = k ( 0) a = bk c = dk
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http//umercalbra.org/lectures/deep-learg/ z l l-1 = f w l 1 z l 1 1 f x = 1 + e x x x > 0 f x = 0 x 0 z l l-1 = f w l 1 z l 1
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Fig. 1 1 SVM LS-SVM Comparison between SVM and LS-SVM. SVM 4 LS-SVM L1-SVM 2 Fig. 2 LS-SVM e i Error variable e i in LS-SVM. 2. LS-SVM 2 l x i R d, i
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: : : : ) ) 1. d ij f i e i x i v j m a ij m f ij n x i =
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1. A 1-1/2 1 5 (1) sin (x y) = sin x cos y cos x sin y Z = e ix e iy (2) x < 1 x = 0 (i) 1 1 x (ii) log (1 + x) log (3) (i) (ii) 0 1 xe x dx dx (x x x
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0.,,., m Euclid m m. 2.., M., M R 2 ψ. ψ,, R 2 M.,, (x 1 (),, x m ()) R m. 2 M, R f. M (x 1,, x m ), f (x 1,, x m ) f(x 1,, x m ). f ( ). x i : M R.,,
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dy = sin cos y cos () y () 1 y = sin 1 + c 1 e sin (3) y() () y() y( 0 ) = y 0 y 1 1. (1) d (1) y = f(, y) (4) i y y i+1 y i+1 = y( i + ) = y i
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u = u(t, x 1,..., x d ) : R R d C λ i = 1 := x 2 1 x 2 d d Euclid Laplace Schrödinger N := {1, 2, 3,... } Z := {..., 3, 2, 1,, 1, 2, 3
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2015 p. 53 extensive properties E Helmholtz F E = e 1 V 1 + e 2 V 2 + E s (95) F = f 1 V 1 + f 2 V 2 + F s (96) e i f i E s F s, A surface s excess e
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ABSTRACT.. 50 von Neumann [8, 29] 70 Conway 80 Wolfram [45]. S ( ) L = Z d d S L Λ L () () f : S Λ S τ : S L S L x = (x i ) i L S L τx (τx) i
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z f(z) f(z) x, y, u, v, r, θ r > 0 z = x + iy, f = u + iv C γ D f(z) f(z) D f(z) f(z) z, Rm z, z 1.1 z = x + iy = re iθ = r (cos θ + i sin θ) z = x iy
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