path: root/modules/interpolation/help/ja_JP/interp2d.xml

<?xml version="1.0" encoding="UTF-8"?>
<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="interp2d" xml:lang="ja">
    <refnamediv>
        <refname>interp2d</refname>
        <refpurpose>双3次スプライン (2d) 評価関数</refpurpose>
    </refnamediv>
    <refsynopsisdiv>
        <title>呼び出し手順</title>
        <synopsis>[zp[,dzpdx,dzpdy[,d2zpdxx,d2zpdxy,d2zpdyy]]]=interp2d(xp,yp,x,y,C [,out_mode])</synopsis>
    </refsynopsisdiv>
    <refsection>
        <title>引数</title>
        <variablelist>
            <varlistentry>
                <term>xp</term>
                <listitem>
                    <para>
                        doubleの mx行my列行列, スプラインを評価する点の<varname>x</varname>座標.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>yp</term>
                <listitem>
                    <para>
                        doubleの mx行my列行列, スプラインを評価する点の<varname>y</varname>座標.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>x</term>
                <listitem>
                    <para>
                        doubleの1行nx列行列, 補間点の<varname>x</varname>座標値.
                        i=1,2,...,nx-1について x(i)&lt;x(i+1)が必要.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>y</term>
                <listitem>
                    <para>
                        doubleの1行nx列行列, 補間点の<varname>y</varname>座標値.
                        i=1,2,...,nx-1について y(i)&lt;y(i+1)が必要.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>C</term>
                <listitem>
                    <para>
                        双3次スプラインの係数. interp2d関数の入力引数は
                        <link linkend="splin2d">splin2d</link>関数の出力引数です.                    
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>out_mode</term>
                <listitem>
                    <para>1行1列の文字列行列, 
                        [x(1),x(nx)]x[y(1),y(ny)]の外にある値の評価
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>zp</term>
                <listitem>
                    <para>
                        mx行my列のdouble行列, スプラインの<varname>z</varname>座標の評価値,
                        すなわち,i=1,2,...,mx および j = 1,2,...,my について,
                        zp(i,j)=s(xp(i,j),yp(i,j))
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>dzpdx</term>
                <listitem>
                    <para>
                        mx行my列のdouble行列, スプラインの<varname>x</varname>に関する1階微分.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>dzpdy</term>
                <listitem>
                    <para>
                        mx行my列のdouble行列, スプラインの<varname>y</varname>に関する1階微分.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>d2zpdxx</term>
                <listitem>
                    <para>
                        mx行my列のdouble行列, スプラインの<varname>x</varname>に関する2階微分.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>d2zpdxy</term>
                <listitem>
                    <para>
                        mx行my列のdouble行列, スプラインの<varname>x</varname>と<varname>y</varname>に関する2階微分.
                    </para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>d2zpdyy</term>
                <listitem>
                    <para>
                        mx行my列のdouble行列, スプラインの<varname>y</varname>に関する2階微分.
                    </para>
                </listitem>
            </varlistentry>
        </variablelist>
    </refsection>
    <refsection>
        <title>説明</title>
        <para>
            双3次スプラインまたはサブスプライン関数を定義する
            3つのベクトル <literal>(x,y,C)</literal> 
            (<link linkend="splin2d">splin2d</link>参照)を指定すると,
            この関数は, 次のように<emphasis>(xp(i),yp(i))</emphasis>における
            <emphasis>s</emphasis> (要すれば <emphasis>ds/dx,
                ds/dy, d2s/dxx, d2s/dxy, d2s/dyy
            </emphasis>
            も)を評価します:
        </para>
        <informalequation>
            <mediaobject>
                <imageobject>
                    <imagedata fileref="../mml/interp2_equation_1.mml"/>
                </imageobject>
            </mediaobject>
        </informalequation>
        <para>
            <literal>out_mode</literal> パラメータは,
            捕外,すなわち<emphasis>(xp(i),yp(i))</emphasis>が
            [x(1),x(nx)]x[y(1),y(ny)]にない場合,
            の計算手法を定義します:
        </para>
        <variablelist>
            <varlistentry>
                <term>"by_zero"</term>
                <listitem>
                    <para>ゼロによる捕外が行われます</para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>"by_nan"</term>
                <listitem>
                    <para>Nanによる捕外</para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>"C0"</term>
                <listitem>
                    <para>捕外は以下のように定義されます :</para>
                    <programlisting role=""><![CDATA[ 
s(x,y) = s(proj(x,y)) where proj(x,y) is nearest point 
                      of [x(1),x(nx)]x[y(1),y(ny)] from (x,y)
 ]]></programlisting>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>"natural"</term>
                <listitem>
                    <para>捕外は(x,y)から最も近い双三次パッチにより行われます.</para>
                </listitem>
            </varlistentry>
            <varlistentry>
                <term>"periodic"</term>
                <listitem>
                    <para>
                        <literal>s</literal> は周期的に拡張されます.
                    </para>
                </listitem>
            </varlistentry>
        </variablelist>
    </refsection>
    <refsection>
        <title>例</title>
        <programlisting role="example"><![CDATA[
n = 7;  // a n x n interpolation grid
x = linspace(0,2*%pi,n); y = x;
z = cos(x')*cos(y);
C = splin2d(x, y, z, "periodic");
// now evaluate on a bigger domain than [0,2pi]x [0,2pi]
m = 80; // discretization parameter of the evaluation grid
xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
[XX,YY] = ndgrid(xx,yy);
zz1 = interp2d(XX,YY, x, y, C, "C0");
plot3d(xx, yy, zz1, flag=[2 6 4])
xtitle("extrapolation with the C0 outmode")
 ]]></programlisting>
        <scilab:image>
            n = 7;  // a n x n interpolation grid
            x = linspace(0,2*%pi,n); y = x;
            z = cos(x')*cos(y);
            C = splin2d(x, y, z, "periodic");
            // now evaluate on a bigger domain than [0,2pi]x [0,2pi]
            m = 80; // discretization parameter of the evaluation grid
            xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
            [XX,YY] = ndgrid(xx,yy);
            zz1 = interp2d(XX,YY, x, y, C, "C0");
            plot3d(xx, yy, zz1, flag=[2 6 4])
            xtitle("extrapolation with the C0 outmode")
        </scilab:image>
        <programlisting role="example"><![CDATA[
n = 7;  // a n x n interpolation grid
x = linspace(0,2*%pi,n); y = x;
z = cos(x')*cos(y);
C = splin2d(x, y, z, "periodic");
// now evaluate on a bigger domain than [0,2pi]x [0,
m = 80; // discretization parameter of the evaluation grid
xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
[XX,YY] = ndgrid(xx,yy);
zz2 = interp2d(XX,YY, x, y, C, "by_zero");
plot3d(xx, yy, zz2, flag=[2 6 4])
xtitle("extrapolation with the by_zero outmode")
 ]]></programlisting>
        <scilab:image>
            n = 7;  // a n x n interpolation grid
            x = linspace(0,2*%pi,n); y = x;
            z = cos(x')*cos(y);
            C = splin2d(x, y, z, "periodic");
            // now evaluate on a bigger domain than [0,2pi]x [0,2pi]
            m = 80; // discretization parameter of the evaluation grid
            xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
            [XX,YY] = ndgrid(xx,yy);
            zz2 = interp2d(XX,YY, x, y, C, "by_zero");
            plot3d(xx, yy, zz2, flag=[2 6 4])
            xtitle("extrapolation with the by_zero outmode")
        </scilab:image>
        <programlisting role="example"><![CDATA[
n = 7;  // a n x n interpolation grid
x = linspace(0,2*%pi,n); y = x;
z = cos(x')*cos(y);
C = splin2d(x, y, z, "periodic");
// now evaluate on a bigger domain than [0,2pi]x [0,2pi]
m = 80; // discretization parameter of the evaluation grid
xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
[XX,YY] = ndgrid(xx,yy);
zz3 = interp2d(XX,YY, x, y, C, "periodic");
plot3d(xx, yy, zz3, flag=[2 6 4])
xtitle("extrapolation with the periodic outmode")
 ]]></programlisting>
        <scilab:image>
            n = 7;  // a n x n interpolation grid
            x = linspace(0,2*%pi,n); y = x;
            z = cos(x')*cos(y);
            C = splin2d(x, y, z, "periodic");
            // now evaluate on a bigger domain than [0,2pi]x [0,2pi]
            m = 80; // discretization parameter of the evaluation grid
            xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
            [XX,YY] = ndgrid(xx,yy);
            zz3 = interp2d(XX,YY, x, y, C, "periodic");
            plot3d(xx, yy, zz3, flag=[2 6 4])
            xtitle("extrapolation with the periodic outmode")
        </scilab:image>
        <programlisting role="example"><![CDATA[
n = 7;  // a n x n interpolation grid
x = linspace(0,2*%pi,n); y = x;
z = cos(x')*cos(y);
C = splin2d(x, y, z, "periodic");
// now evaluate on a bigger domain than [0,2pi]x [0,2pi]
m = 80; // discretization parameter of the evaluation grid
xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
[XX,YY] = ndgrid(xx,yy);
zz4 = interp2d(XX,YY, x, y, C, "natural");
plot3d(xx, yy, zz4, flag=[2 6 4])
xtitle("extrapolation with the natural outmode")
 ]]></programlisting>
        <scilab:image>
            n = 7;  // a n x n interpolation grid
            x = linspace(0,2*%pi,n); y = x;
            z = cos(x')*cos(y);
            C = splin2d(x, y, z, "periodic");
            // now evaluate on a bigger domain than [0,2pi]x [0,2pi]
            m = 80; // discretization parameter of the evaluation grid
            xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx;
            [XX,YY] = ndgrid(xx,yy);
            zz4 = interp2d(XX,YY, x, y, C, "natural");
            plot3d(xx, yy, zz4, flag=[2 6 4])
            xtitle("extrapolation with the natural outmode")
        </scilab:image>
    </refsection>
    <refsection role="see also">
        <title>参照</title>
        <simplelist type="inline">
            <member>
                <link linkend="splin2d">splin2d</link>
            </member>
        </simplelist>
    </refsection>
    <refsection>
        <title>履歴</title>
        <revhistory>
            <revision>
                <revnumber>5.4.0</revnumber>
                <revremark>以前では, 入力引数の虚部は暗黙のうちに無視されていました.</revremark>
            </revision>
        </revhistory>
    </refsection>
</refentry>