当前位置: 首页>>代码示例>>C#>>正文


C# DenseVector.CopySubVectorTo方法代码示例

本文整理汇总了C#中MathNet.Numerics.LinearAlgebra.Double.DenseVector.CopySubVectorTo方法的典型用法代码示例。如果您正苦于以下问题:C# DenseVector.CopySubVectorTo方法的具体用法?C# DenseVector.CopySubVectorTo怎么用?C# DenseVector.CopySubVectorTo使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在MathNet.Numerics.LinearAlgebra.Double.DenseVector的用法示例。


在下文中一共展示了DenseVector.CopySubVectorTo方法的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。

示例1: LbcbActuator

 public LbcbActuator(String label, double [] pins)
 {
     DenseVector combinedPins = new DenseVector(pins);
     this.fixedPin = new DenseVector(3);
     this.platformPin = new DenseVector(3);
     this.initialPlatformPin = new DenseVector(3);
     combinedPins.CopySubVectorTo(this.fixedPin, 0, 0, 3);
     combinedPins.CopySubVectorTo(this.platformPin, 3, 0, 3);
     combinedPins.CopySubVectorTo(this.initialPlatformPin, 3, 0, 3);
     this.label = label;
     updateLength();
     initialLength = length;
 }
开发者ID:mbletzinger,项目名称:lbcb-om,代码行数:13,代码来源:LbcbActuator.cs

示例2: Run

        /// <summary>
        /// Run example
        /// </summary>
        public void Run()
        {
            // Format vector output to console
            var formatProvider = (CultureInfo)CultureInfo.InvariantCulture.Clone();
            formatProvider.TextInfo.ListSeparator = " ";

            // Create new empty vector
            var vectorA = new DenseVector(10);
            Console.WriteLine(@"Empty vector A");
            Console.WriteLine(vectorA.ToString("#0.00\t", formatProvider));
            Console.WriteLine();
            
            // 1. Fill vector by data using indexer []
            for (var i = 0; i < vectorA.Count; i++)
            {
                vectorA[i] = i;
            }

            Console.WriteLine(@"1. Fill vector by data using indexer []");
            Console.WriteLine(vectorA.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Fill vector by data using SetValues method
            vectorA.SetValues(new[] { 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0 });
            Console.WriteLine(@"2. Fill vector by data using SetValues method");
            Console.WriteLine(vectorA.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 3. Convert Vector to double[]
            var data = vectorA.ToArray();
            Console.WriteLine(@"3. Convert vector to double array");
            for (var i = 0; i < data.Length; i++)
            {
                Console.Write(data[i].ToString("#0.00\t", formatProvider) + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 4. Convert Vector to column matrix. A matrix based on this vector in column form (one single column)
            var columnMatrix = vectorA.ToColumnMatrix();
            Console.WriteLine(@"4. Convert vector to column matrix");
            Console.WriteLine(columnMatrix.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 5. Convert Vector to row matrix. A matrix based on this vector in row form (one single row)
            var rowMatrix = vectorA.ToRowMatrix();
            Console.WriteLine(@"5. Convert vector to row matrix");
            Console.WriteLine(rowMatrix.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 6. Clone vector
            var cloneA = vectorA.Clone();
            Console.WriteLine(@"6. Clone vector");
            Console.WriteLine(cloneA.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 7. Clear vector
            cloneA.Clear();
            Console.WriteLine(@"7. Clear vector");
            Console.WriteLine(cloneA.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 8. Copy part of vector into another vector. If you need to copy all data then use CopoTy(vector) method.
            vectorA.CopySubVectorTo(cloneA, 3, 3, 4);
            Console.WriteLine(@"8. Copy part of vector into another vector");
            Console.WriteLine(cloneA.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 9. Get part of vector as another vector
            var subvector = vectorA.SubVector(0, 5);
            Console.WriteLine(@"9. Get subvector");
            Console.WriteLine(subvector.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

           // 10. Enumerator usage
            Console.WriteLine(@"10. Enumerator usage");
            foreach (var value in vectorA)
            {
                Console.Write(value.ToString("#0.00\t", formatProvider) + @" ");
            }

            Console.WriteLine();
            Console.WriteLine();

            // 11. Indexed enumerator usage
            Console.WriteLine(@"11. Enumerator usage");
            foreach (var value in vectorA.GetIndexedEnumerator())
            {
                Console.WriteLine(@"Index = {0}; Value = {1}", value.Item1, value.Item2.ToString("#0.00\t", formatProvider));
            }

            Console.WriteLine();
        }
开发者ID:hickford,项目名称:mathnet-numerics-native,代码行数:97,代码来源:VectorDataAccessor.cs

示例3: translate

 private DenseVector translate(double[] displacement, bool isreverse)
 {
     double[] ddisp = new double[6];
     displacement.CopyTo(ddisp, 0);
     DenseVector translation = DenseVector.Create(3, 0.0); ;
     List2String l2s = new List2String();
     log.Debug("original disp: " + l2s.ToString(displacement));
     DenseVector dispV = new DenseVector(ddisp);
     dispV.CopySubVectorTo(translation, 0, 0, 3);
     log.Debug("given trans:" + l2s.ToString(translation.Values) +
         " from: " + l2s.ToString(dispV.Values) +
         " orig: " + l2s.ToString(displacement));
     DenseVector target;
     DenseVector reference;
     if (isreverse == false)
     {
         log.Debug("Normal Translation");
         directionalVector = (DenseVector)motionCenter.Subtract(platformCenter);
         target = motionCenter;
         reference = platformCenter;
     }
     else
     {
         log.Debug("Reverse Translation");
         directionalVector = (DenseVector)platformCenter.Subtract(motionCenter);
         target = platformCenter;
         reference = motionCenter;
     }
     log.Debug("translation: " + l2s.ToString(translation.Values) +
         " reference: " + l2s.ToString(reference.Values) +
         " target: " + l2s.ToString(target.Values));
     DenseVector newDisp = (DenseVector)translation.Add(reference).Subtract(target);
     log.Debug("calculated trans:" + l2s.ToString(newDisp.Values) +
         " dv: " + l2s.ToString(directionalVector.Values));
     return newDisp;
 }
开发者ID:mbletzinger,项目名称:lbcb-om,代码行数:36,代码来源:RigidTransform.cs

示例4: Init

        public override void Init()
        {
            //ParametersVector = new DenseVector(24);
            //for(int i = 0; i < 12; ++i)
            //{
            //    ParametersVector.At(i, CameraLeft.At(i / 4, i & 3));
            //    ParametersVector.At(i + 12, CameraRight.At(i / 4, i & 3));
            //}

            // Parameters:
            // Full: [fx, fy, s, px, py, eaX, eaY, eaZ, Cx, Cy, Cz]
            // Center fixed: [fx, fy, s, eaX, eaY, eaZ, Cx, Cy, Cz]
            ParametersVector = new DenseVector(_cameraParamsCount * 2);
            if(_fxIdx >= 0) ParametersVector.At(_fxIdx, CalibrationData.Data.CalibrationLeft.At(0, 0));
            if(_fyIdx >= 0) ParametersVector.At(_fyIdx, CalibrationData.Data.CalibrationLeft.At(1, 1));
            if(_skIdx >= 0) ParametersVector.At(_skIdx, CalibrationData.Data.CalibrationLeft.At(0, 1));
            if(_pxIdx >= 0) ParametersVector.At(_pxIdx, CalibrationData.Data.CalibrationLeft.At(0, 2));
            if(_pyIdx >= 0) ParametersVector.At(_pyIdx, CalibrationData.Data.CalibrationLeft.At(1, 2));

            Vector<double> euler = new DenseVector(3);
            RotationConverter.MatrixToEuler(euler, CalibrationData.Data.RotationLeft);
            if(_euXIdx >= 0) ParametersVector.At(_euXIdx, euler.At(0));
            if(_euYIdx >= 0) ParametersVector.At(_euYIdx, euler.At(1));
            if(_euZIdx >= 0) ParametersVector.At(_euZIdx, euler.At(2));

            if(_cXIdx >= 0) ParametersVector.At(_cXIdx, CalibrationData.Data.TranslationLeft.At(0));
            if(_cYIdx >= 0) ParametersVector.At(_cYIdx, CalibrationData.Data.TranslationLeft.At(1));
            if(_cZIdx >= 0) ParametersVector.At(_cZIdx, CalibrationData.Data.TranslationLeft.At(2));

            int n0 = _cameraParamsCount;
            if(_fxIdx >= 0) ParametersVector.At(_fxIdx + n0, CalibrationData.Data.CalibrationRight.At(0, 0));
            if(_fyIdx >= 0) ParametersVector.At(_fyIdx + n0, CalibrationData.Data.CalibrationRight.At(1, 1));
            if(_skIdx >= 0) ParametersVector.At(_skIdx + n0, CalibrationData.Data.CalibrationRight.At(0, 1));
            if(_pxIdx >= 0) ParametersVector.At(_pxIdx + n0, CalibrationData.Data.CalibrationRight.At(0, 2));
            if(_pyIdx >= 0) ParametersVector.At(_pyIdx + n0, CalibrationData.Data.CalibrationRight.At(1, 2));

            RotationConverter.MatrixToEuler(euler, CalibrationData.Data.RotationRight);
            if(_euXIdx >= 0) ParametersVector.At(_euXIdx + n0, euler.At(0));
            if(_euYIdx >= 0) ParametersVector.At(_euYIdx + n0, euler.At(1));
            if(_euZIdx >= 0) ParametersVector.At(_euZIdx + n0, euler.At(2));

            if(_cXIdx >= 0) ParametersVector.At(_cXIdx + n0, CalibrationData.Data.TranslationRight.At(0));
            if(_cYIdx >= 0) ParametersVector.At(_cYIdx + n0, CalibrationData.Data.TranslationRight.At(1));
            if(_cZIdx >= 0) ParametersVector.At(_cZIdx + n0, CalibrationData.Data.TranslationRight.At(2));

            //_imgCenterLeft = new Vector2(CalibrationData.Data.CalibrationLeft.At(0, 2),
            //    CalibrationData.Data.CalibrationLeft.At(1, 2));
            //_imgCenterRight = new Vector2(CalibrationData.Data.CalibrationRight.At(0, 2),
            //    CalibrationData.Data.CalibrationRight.At(1, 2));

            ResultsVector = new DenseVector(ParametersVector.Count + CalibGrids.Count * 12);
            BestResultVector = new DenseVector(ResultsVector.Count);
            ParametersVector.CopySubVectorTo(ResultsVector, 0, 0, ParametersVector.Count);

            _grids = new RealGridData[CalibGrids.Count];

            int N = ParametersVector.Count;
            for(int i = 0; i < CalibGrids.Count; ++i)
            {
                ResultsVector.At(N + i * 12, CalibGrids[i].TopLeft.X);
                ResultsVector.At(N + i * 12 + 1, CalibGrids[i].TopLeft.Y);
                ResultsVector.At(N + i * 12 + 2, CalibGrids[i].TopLeft.Z);
                ResultsVector.At(N + i * 12 + 3, CalibGrids[i].TopRight.X);
                ResultsVector.At(N + i * 12 + 4, CalibGrids[i].TopRight.Y);
                ResultsVector.At(N + i * 12 + 5, CalibGrids[i].TopRight.Z);
                ResultsVector.At(N + i * 12 + 6, CalibGrids[i].BotLeft.X);
                ResultsVector.At(N + i * 12 + 7, CalibGrids[i].BotLeft.Y);
                ResultsVector.At(N + i * 12 + 8, CalibGrids[i].BotLeft.Z);
                ResultsVector.At(N + i * 12 + 9, CalibGrids[i].BotRight.X);
                ResultsVector.At(N + i * 12 + 10, CalibGrids[i].BotRight.Y);
                ResultsVector.At(N + i * 12 + 11, CalibGrids[i].BotRight.Z);
                _grids[i] = new RealGridData();
                _grids[i].Columns = CalibGrids[i].Columns;
                _grids[i].Rows = CalibGrids[i].Rows;
            }
            ResultsVector.CopyTo(BestResultVector);

            _coeffMatch = MatchedPointsLeft.Count > 0 ? Math.Sqrt(MatchErrorCoeff * 0.5 / (double)MatchedPointsLeft.Count) : 0;
            _coeffImages = Math.Sqrt(ImagesErrorCoeff * 0.5 / (double)(CalibPointsLeft.Count + CalibPointsRight.Count));
            _coeffGrids = Math.Sqrt(GridsErrorCoeff * (CalibPointsLeft.Count + CalibPointsRight.Count) / (double)(CalibGrids.Count * 12));
            _coeffTriang = Math.Sqrt(TriangulationErrorCoeff * 0.33 / (double)CalibPointsLeft.Count);

            _currentErrorVector = new DenseVector(
                MatchedPointsLeft.Count * 2 + // Matched
                CalibPointsLeft.Count * 3 + // Triangulation
                CalibPointsLeft.Count * 2 + CalibPointsRight.Count * 2 + // Image
                CalibGrids.Count * 12); // Grids

            _J = new DenseMatrix(_currentErrorVector.Count, ResultsVector.Count);
            _Jt = new DenseMatrix(ResultsVector.Count, _currentErrorVector.Count);
            _JtJ = new DenseMatrix(ResultsVector.Count, ResultsVector.Count);
            _Jte = new DenseVector(ResultsVector.Count);
            _delta = new DenseVector(ResultsVector.Count);

            _reals = new Vector<double>[CalibPointsLeft.Count];
            _imgsLeft = new Vector<double>[CalibPointsLeft.Count];
            _imgsRight = new Vector<double>[CalibPointsRight.Count];

            _triangulation.UseLinearEstimationOnly = true;
            _triangulation.PointsLeft = new List<Vector<double>>(CalibPointsLeft.Count);
//.........这里部分代码省略.........
开发者ID:KFlaga,项目名称:Cam3D,代码行数:101,代码来源:CrossCalibrationRefiner.cs


注:本文中的MathNet.Numerics.LinearAlgebra.Double.DenseVector.CopySubVectorTo方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。