Derivative formula的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列股價、配息、目標價等股票新聞資訊

Image Reconstruction: Applications in Medical Sciences

為了解決Derivative formula的問題，作者Zeng, Gengsheng Lawrence 這樣論述：

This book introduces the classical and modern image reconstruction technologies. It covers topics in two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. Both analytical and iterative methods are presented. The applicati

ons in X-ray CT, SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging) are discussed. Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich''s cone-beam filtered back

projection algorithm, and reconstruction with highly under-sampled data are included. The last chapter of the book is devoted to the techniques of using a fast analytical algorithm to reconstruct an image that is equivalent to an iterative reconstruction. These techniques are the author''s most rece

nt research results. This book is intended for students, engineers, and researchers who are interested in medical image reconstruction. Written in a non-mathematical way, this book provides an easy access to modern mathematical methods in medical imaging. Table of Content: Chapter 1 Basic Principles

of Tomography1.1 Tomography1.2 Projection1.3 Image Reconstruction1.4 Backprojection1.5 Mathematical ExpressionsProblemsReferencesChapter 2 Parallel-Beam Image Reconstruction2.1 Fourier Transform2.2 Central Slice Theorem2.3 Reconstruction Algorithms2.4 A Computer Simulation2.5 ROI Reconstruction wit

h Truncated Projections2.6 Mathematical Expressions (The Fourier Transform and Convolution, The Hilbert Transform and the Finite Hilbert Transform, Proof of the Central Slice Theorem, Derivation of the Filtered Backprojection Algorithm, Expression of the Convolution Backprojection Algorithm, Express

ion of the Radon Inversion Formula, Derivation of the Backprojection-then-Filtering AlgorithmProblemsReferencesChapter 3 Fan-Beam Image Reconstruction3.1 Fan-Beam Geometry and Point Spread Function3.2 Parallel-Beam to Fan-Beam Algorithm Conversion3.3 Short Scan3.4 Mathematical Expressions (Derivatio

n of a Filtered Backprojection Fan-Beam Algorithm, A Fan-Beam Algorithm Using the Derivative and the Hilbert Transform)ProblemsReferencesChapter 4 Transmission and Emission Tomography4.1 X-Ray Computed Tomography4.2 Positron Emission Tomography and Single Photon Emission Computed Tomography4.3 Atten

uation Correction for Emission Tomography4.4 Mathematical ExpressionsProblemsReferencesChapter 5 3D Image Reconstruction5.1 Parallel Line-Integral Data5.2 Parallel Plane-Integral Data5.3 Cone-Beam Data (Feldkamp''s Algorithm, Grangeat''s Algorithm, Katsevich''s Algorithm)5.4 Mathematical Expressions

(Backprojection-then-Filtering for Parallel Line-Integral Data, Filtered Backprojection Algorithm for Parallel Line-Integral Data, 3D Radon Inversion Formula, 3D Backprojection-then-Filtering Algorithm for Radon Data, Feldkamp''s Algorithm, Tuy''s Relationship, Grangeat''s Relationship, Katsevich''

s Algorithm)ProblemsReferencesChapter 6 Iterative Reconstruction6.1 Solving a System of Linear Equations6.2 Algebraic Reconstruction Technique6.3 Gradient Descent Algorithms6.4 Maximum-Likelihood Expectation-Maximization Algorithms6.5 Ordered-Subset Expectation-Maximization Algorithm6.6 Noise Handli

ng (Analytical Methods, Iterative Methods, Iterative Methods)6.7 Noise Modeling as a Likelihood Function6.8 Including Prior Knowledge6.9 Mathematical Expressions (ART, Conjugate Gradient Algorithm, ML-EM, OS-EM, Green''s One-Step Late Algorithm, Matched and Unmatched Projector/Backprojector Pairs )6

.10 Reconstruction Using Highly Undersampled Data with l0 MinimizationProblemsReferencesChapter 7 MRI Reconstruction7.1 The ''M''7.2 The ''R''7.3 The ''I''; (To Obtain z-Information, x-Information, y-Information)7.4 Mathematical ExpressionsProblemsReferencesIndexing Gengsheng Lawrence Zeng, Weber

State University, Odgen, US

Derivative formula進入發燒排行的影片

資產負債管理之研究分析

為了解決Derivative formula的問題，作者宣葳 這樣論述：

本研究由三篇關於保險業資產負債管理議題的論文所構成。本文第二章檢視在台灣地區銷售之典型利率變動型壽險之公平定價問題。假設資產過程滿足Heston隨機變動模型、利率過程為CIR 模型，保險給付將為一系列遠期起點期權之總和。本文就台灣財務市場之資料進行模型參數估計，再利用蒙地卡羅法計算契約公平價格，同時計算風險值（VaR, ES）。本文第三章闡述國際板債券評價系統的實作細節。台灣保險業總資產近兩成之國際板債券在IFRS-9 會計準則下非為純債務工具，必須以公允價值衡量。在此我們敘述以美國固定期限公債收益率或美元LIBOR及ICE利率交換率校正的利率期限結構，配合芝加哥期貨交易所的歐式利率交換選擇

權隱含波動度資料估計Hull-White 短期利率模型之評價理論細節，並使用開放原始碼程式語言Python 與函式庫QuantLib 及三元樹演算法實作國際板債券評價系統。除與櫃買中心系統價格輸出結果相比較外，我們展示本系統在給定利率期限結構與市場現有商品規格下可贖回債券期初價值與隱含年利率、不可贖回期間與可贖回頻率關係之計算。本文第四章探討copula-GARCH 模型在變額年金保證價值計算上的應用。有效的風險管理前提在於推估各種資產間的機率關係，並計算反映系統狀態的各種定量指標的能力。現代計算技術的進步使得更符合實際、不須過份簡化的多變量機率模型運用變為可能，而copula 正是如此的多變

量機率模型。結合GARCH 時間序列模型，我們利用一系列基於無母數統計與經驗過程理論的穩健統計檢定方法，針對給定S&P500 與S&P600 指數時間序列選擇並匹配最適copula-GARCH 模型，進而推估變額年金保證價值。

偽裝的Gauss-Manin聯絡（英文版）

為了解決Derivative formula的問題，作者（巴西）H.莫瓦薩蒂 這樣論述：

試圖對於三階上同調等於1的帶Hodge數的Calabi-Yau三維體族構建一個模形式理論。書中討論了新理論與定義在上半平面的模形式經典理論之間的不同和相似之處。新理論的主要例子是拓撲弦分拆函數，它們對鏡像Calabi-Yau三維體的Gromov-Witten不變量進行了編碼。本書有兩個主要的目標讀者群：一個是那些經典模和自守形式領域的研究者，他們希望理解Calabi-Yau三維體得到物理學家所謂的q-展開，另一個是想要弄清鏡面對稱是如何對於Calabi-Yau三維體進行計數的致力於枚舉幾何學的數學家。本書也可推薦給研究自守形式及其在代數幾何中的應用的數學家，特別是注意到以下問題的學者：在他們的

研究中涉及的代數簇的類是有限的，例如，它不包括緊非剛性Calabi-Yau三維體。流暢地閱讀本書需要復分析、微分方程、代數拓撲和代數幾何的先導知識。H.莫瓦薩蒂，是伊朗裔巴西數學家，2006年起在位於里約熱內盧的巴西純粹與應用數學研究所（IMPA-Instituto de Matematica Pura e Aplicada）工作。 他的數學生涯起步於對復流形上的全純葉狀結構和微分方程的研究，並逐步轉移到對於Hodge理論、模形式以及它們在數學物理特別是鏡面對稱中的應用的研究。 1 Introduction 1.1 What is Gauss-Manin connec

tion in disguise？ 1.2 Why mirror quintic Calabi-Yau threefold？ 1.3 How to read the text？ 1.4 Why differential Calabi-Yau modular form？2 Summary of results and computations 2.1 Mirror quintic Calabi-Yau threefolds 2.2 Ramanujan differential equation 2.3 Modular vector fields 2.4 Geomet

ric differential Calabi-Yau modular forms 2.5 Eisenstein series 2.6 Elliptic integrals and modular forms 2.7 Periods and differential Calabi-Yau modular forms， I 2.8 Integrality of Fourier coefficients 2.9 Quasi- or differential modular forms 2.10 Functional equations 2.11 Conifold sin

gularity 2.12 The Lie algebra sl2 2.13 BCOV holomorphic anomaly equation， I 2.14 Gromov-Witten invariants 2.15 Periods and differential Calabi-Yau modular forms， II 2.16 BCOV holomorphic anomaly equation， II 2.17 The polynomial structure of partition functions 2.18 Future developments3

Moduli of enhanced mirror quintics 3.1 What is mirror quintic？ 3.2 Moduli space， I 3.3 Gauss-Manin connection， I 3.4 Intersection form and Hodge filtration 3.5 A vector field on S 3.6 Moduli space， II 3.7 The Picard-Fuchs equation 3.8 Gauss-Manin connection， II 3.9 Proof of Theor

em 2 3.10 Algebraic group 3.11 Another vector field 3.12 Weights 3.13 A Lie algebra4 Topology and periods 4.1 Period map 4.2 t-locus 4.3 Positivity conditions 4.4 Generalized period domain 4.5 The algebraic group and t-locus 4.6 Monodromy covering 4.7 A particular solution 4.

8 Action of the monodromy 4.9 The solution in terms of periods 4.10 Computing periods 4.11 Algebraically independent periods 4.12 0-locus 4.13 The algebraic group and the 0-locus 4.14 Comparing t and 0-loci 4.15 All solutions of R0， R0 4.16 Around the elfiptic point 4.17 Halphen p

roperty 4.18 Differential Calabi-Yau modular forms around the conifold 4.19 Logarithmic mirror map around the conifold 4.20 Holomorphic mirror map5 Formal power series solutions 5.1 Singularities of modular differential equations 5.2 q-expansion around maximal unipotent cusp 5.3 Another

q-expansion 5.4 q-expansion around conifold 5.5 New coordinates 5.6 Holomorphic foliations6 Topological string partition functions 6.1 Yamaguchi-Yau’’s elements 6.2 Proof of Theorem 8 6.3 Genus 1 topological partition function 6.4 Holomorphic anomaly equation 6.5 Proof of Propositi

on 1 6.6 The ambiguity of F 6.7 Topological partition functions F8 ， g = 2， 3 6.8 Topological partition functions for elliptic curves7 Holomorphie differential Calabi-Yau modular forms 7.1 Fourth-order differential equations 7.2 Hypergeometric differential equations 7.3 Picard-Fuchs equ

ations 7.4 Intersection form 7.5 Maximal unipotent monodromy 7.6 The field of differential Calabi-Yau modular forms 7.7 The derivation 7.8 Yukawa coupling 7.9 q-expansion8 Non-holomorphie differential Calabi-Yau modular forms 8.1 The differential field 8.2 Anti-holomorphic derivatio

n 8.3 A new basis 8.4 Yamaguchi-Yau elements 8.5 Hypergeometric cases9 BCOV holomorphie anomaly equation 9.1 Genus 1 topological partition function 9.2 The covariant derivative 9.3 Holomorphic anomaly equation 9.4 Master anomaly equation 9.5 Algebraic anomaly equation 9.6 Proof of

Theorem 9 9.7 A kind of Gauss-Manin connection 9.8 Seven vector fields 9.9 Comparison of algebraic and holomorphic anomaly equations 9.10 Feynman rules 9.11 Structure of the ambiguity10 Calabi-Yau modular forms 10.1 Classical modular forms 10.2 A general setting 10.3 The algebra of

Calabi-Yau modular forms11 Problems 11.1 Vanishing of periods 11.2 Hecke operators 11.3 Maximal Hodge structure 11.4 Monodromy 11.5 Torelli problem 11.6 Monstrous moonshine conjecture 11.7 Integrality of instanton numbers 11.8 Some product formulas 11.9 A new mirror map 11.10 Y

et another coordinate 11.11 Gap condition 11.12 Algebraic gap condition 11.13 Arithmetic modularityA Second-order linear differential equations A.1 Holomorphic and non-holomorphic quasi-modular forms A.2 Full quasi-modular formsB Metric B.1 Poincare metric B.2 Kahler metric for modul

i of mirror quinticsC Integrality properties HOSSEIN MOVASATI， KHOSRO M. SHOKRI C.1 Introduction C.2 Dwork map C.3 Dwork lemma and theorem on hypergeometric functions C.4 Consequences of Dwork’’s theorem C.5 Proof of Theorem 13， Part 1 C.6 A problem in computational commutative algebra

C.7 The casen = 2 C.8 The symmetry C.9 Proof of Theorem 13， Part 2 C.10 Computational evidence for Conjecture 1 C.11 Proof of Corollary 1D Kontsevich’’s formula CARLOS MATHEUS D.1 Examples of variations of Hodge structures of weight k D.2 Lyapunov exponents D.3 Kontsevich’’s formu

la in the classical setting D.4 Kontsevich’’s formula in Calabi-Yau 3-folds setting D.5 Simplicity of Lyapunov exponents of mirror quinticsReferences

一致分數階Sturm-Liouville方程上的Ambarzumyan定理之研究

為了解決Derivative formula的問題，作者黃兪慈 這樣論述：

在這篇論文中，我們研究了一致分數階Sturm-Liouville方程，在一致分數階微積分的性質並給出了替代證明。此外，我們將Ambarzumyan定理擴展到一致分數階Sturm-Liouville方程。