001/* ---------------------------------------------------------------------------- 002 * This file was automatically generated by SWIG (https://www.swig.org). 003 * Version 4.1.1 004 * 005 * Do not make changes to this file unless you know what you are doing - modify 006 * the SWIG interface file instead. 007 * ----------------------------------------------------------------------------- */ 008 009package org.quantlib; 010 011public class StochasticProcess extends Observable implements org.quantlib.helpers.QuantLibJNIHelpers.AutoCloseable { 012 private transient long swigCPtr; 013 private transient boolean swigCMemOwnDerived; 014 015 protected StochasticProcess(long cPtr, boolean cMemoryOwn) { 016 super(QuantLibJNI.StochasticProcess_SWIGSmartPtrUpcast(cPtr), true); 017 swigCMemOwnDerived = cMemoryOwn; 018 swigCPtr = cPtr; 019 } 020 021 protected static long getCPtr(StochasticProcess obj) { 022 return (obj == null) ? 0 : obj.swigCPtr; 023 } 024 025 protected void swigSetCMemOwn(boolean own) { 026 swigCMemOwnDerived = own; 027 super.swigSetCMemOwn(own); 028 } 029 030 @SuppressWarnings("deprecation") 031 protected void finalize() { 032 delete(); 033 } 034 035 public synchronized void delete() { 036 if (swigCPtr != 0) { 037 if (swigCMemOwnDerived) { 038 swigCMemOwnDerived = false; 039 QuantLibJNI.delete_StochasticProcess(swigCPtr); 040 } 041 swigCPtr = 0; 042 } 043 super.delete(); 044 } 045 046 public long size() { 047 return QuantLibJNI.StochasticProcess_size(swigCPtr, this); 048 } 049 050 public long factors() { 051 return QuantLibJNI.StochasticProcess_factors(swigCPtr, this); 052 } 053 054 public Array initialValues() { 055 return new Array(QuantLibJNI.StochasticProcess_initialValues(swigCPtr, this), true); 056 } 057 058 public Array drift(double t, Array x) { 059 return new Array(QuantLibJNI.StochasticProcess_drift(swigCPtr, this, t, Array.getCPtr(x), x), true); 060 } 061 062 public Matrix diffusion(double t, Array x) { 063 return new Matrix(QuantLibJNI.StochasticProcess_diffusion(swigCPtr, this, t, Array.getCPtr(x), x), true); 064 } 065 066 public Array expectation(double t0, Array x0, double dt) { 067 return new Array(QuantLibJNI.StochasticProcess_expectation(swigCPtr, this, t0, Array.getCPtr(x0), x0, dt), true); 068 } 069 070 public Matrix stdDeviation(double t0, Array x0, double dt) { 071 return new Matrix(QuantLibJNI.StochasticProcess_stdDeviation(swigCPtr, this, t0, Array.getCPtr(x0), x0, dt), true); 072 } 073 074 public Matrix covariance(double t0, Array x0, double dt) { 075 return new Matrix(QuantLibJNI.StochasticProcess_covariance(swigCPtr, this, t0, Array.getCPtr(x0), x0, dt), true); 076 } 077 078 public Array evolve(double t0, Array x0, double dt, Array dw) { 079 return new Array(QuantLibJNI.StochasticProcess_evolve(swigCPtr, this, t0, Array.getCPtr(x0), x0, dt, Array.getCPtr(dw), dw), true); 080 } 081 082}