Vaibhav Kumar Dixit Vaibhavdixit02

## gsquantify2018.py
import numpy as np


inp = input()
u0,kappa,ita,nu,S,n,K = map(float,inp)
num_sims = S

t_init = 0.0
t_end  = 10.0
N      = n*10

## Localsaparamestim1variable.ipynb

      
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## Localsensitivitygradcont.ipynb

      
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## localsensitivitygradient.ipynb

      
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## multipleshooting.ipynb

      
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## gist:c8f3147d7c5de3b0f1f68a64f6dd1fa5
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",

## JuliaCon.ipynb

      
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                / JuliaCon.ipynb
            
            
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              July 15, 2018 11:00
            
          
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## diffeqhmc.jl
# DiffEq tools
using DiffEqBayes, OrdinaryDiffEq, ParameterizedFunctions, RecursiveArrayTools

# clone from github.com/tpapp
using DynamicHMC, MCMCDiagnostics, DiffWrappers, ContinuousTransformations

using Parameters, Distributions, Optim

f1 = @ode_def_nohes LotkaVolterraTest1 begin
  dx = a*x - b*x*y
	import numpy as np


	inp = input()
	u0,kappa,ita,nu,S,n,K = map(float,inp)
	num_sims = S

	t_init = 0.0
	t_end = 10.0
	N = n*10
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 1,
	"metadata": {},
	"outputs": [
	{
	"name": "stderr",
	"output_type": "stream",
	# DiffEq tools
	using DiffEqBayes, OrdinaryDiffEq, ParameterizedFunctions, RecursiveArrayTools

	# clone from github.com/tpapp
	using DynamicHMC, MCMCDiagnostics, DiffWrappers, ContinuousTransformations

	using Parameters, Distributions, Optim

	f1 = @ode_def_nohes LotkaVolterraTest1 begin
	dx = ax - bx*y