第一篇：MATLAB數(shù)學建模資料-組隊心得

出于校內(nèi)賽臨近，這兩天QQ群里有好多人都在詢問如何組隊的問題，正好今天我聽了數(shù)學中國上一堂關(guān)于賽前準備的課。我就結(jié)合自己的經(jīng)歷淺談一下建模中要如何組隊。就算是拋磚引玉吧

首先，為什么看重組隊？

古語有云：“三個臭皮匠，頂個諸葛亮?！逼鋵嵕褪钦f明團隊的重要性。但大家不要以為任意三個臭皮匠都能比諸葛亮厲害的。我個人認為這是三個各有所長的臭皮匠。他們之所以加起來超過諸葛亮，靠的不是個人的精干而是團隊的力量,一個高校團隊的力量。所以我想告訴大家組隊的確是一個比較重要的環(huán)節(jié)。

那什么是一個高效的團隊？

我感覺就業(yè)指導這門課介紹的高效團隊的四個要素，完美的回答了這個問題

1、支持性的環(huán)境：這就好比說你是文科院的一名學近代史的學生，你還會學建模嗎？還會有一個非常優(yōu)秀的建模團隊嗎？答案是很明顯的。不會!不過我們學校是一所理工科學校，對數(shù)學建模而言，可以說是一個比較的好環(huán)境。首先大家都學習了基本的數(shù)學知識，再者，數(shù)學建模在理工各學科的應(yīng)用都非常的廣泛。所以大家基本都一個好的支持性的環(huán)境。

2、才能與角色分明：這其實就是說大家都各有所長，又各司其職。在建模里表現(xiàn)為，擅長建模者，擅長程序者，擅長寫作者都有相應(yīng)的工作重點。當然這不是說大家各干各的，團隊的優(yōu)勢就在于你們是一個整體，或許你們單獨體現(xiàn)不出優(yōu)勢，但是你們配合是完美的，那就成功了。

3、超凡的目標：作為一個團隊，一開始你們就要給自己定下一個目標，就我的經(jīng)歷而言，我感覺沒有目標是很可怕的，其實這很明顯的，沒有目標就沒有動力，沒有動力就沒有進步，沒有進步哪來成功呢？所以就組隊參賽來說，我希望全體隊友都有明確的目標，說俗了就是拿獎。

4、團隊報酬：我只想說一句：團隊的努力付出的報酬就有收獲。收獲知識，收獲成功。作為一個學生，還有何求。

組隊有哪些要注意的呢？

第一條、切忌打醬油！一旦團隊開始打醬油，可以說這個團隊就失去了所有，我感

覺就沒有什么意思了。

第二條、隊友的選擇，一要，志同道合、目標明確；二要，各有所長、優(yōu)勢互補。

這里要說一點，各有所長不是單從專業(yè)上來看的，關(guān)鍵是看個人的能力。

第三條、隊長的責任，我想特別提一下隊長，隊長要表現(xiàn)出比別人更多的熱情和吃

苦精神，沒有人能做到完美，但是熱情通常能說明一切，一個對勝利充滿

渴望并100%付出的人，會讓隊友幸福。

第四條、隊友之間要相互交流，相互鼓勵與依賴，這樣有感情的團隊會有更強的凝

聚力。

當然這里還很不全面，只是個人的一點點小的學習心得與體會。歡迎大家交流討論。

——石大數(shù)學建模協(xié)會

第二篇：數(shù)學建模常用的Matlab繪圖總結(jié)

餅狀圖

Expenses = [20 10 40 12 20 19 5 15];

ExpenseCategories = {'Food','Medical','Lodging','Incidentals',...'Transport','Utilities','Gifts','Shopping'};

MostLeastExpensive =(Expenses==max(Expenses)|Expenses==min(Expenses));

h=pie(gca,Expenses,MostLeastExpensive,ExpenseCategories);

ShoppingGiftsFoodMedicalUtilitiesTransportLodgingIncidentalsExpenses = [20 10 40 12 20 19 5 15];

MostLeastExpensive =(Expenses==max(Expenses)|Expenses==min(Expenses));

h=pie(gca,Expenses,MostLeastExpensive);legend('Food','Medical','Lodging','Incidentals',...'Transport','Utilities','Gifts','Shopping');

4%FoodMedicalLodgingIncidentalsTransportUtilitiesGiftsShopping

14%11%7%13%14%28% 9% Expenses = [20 10 40 12 20 19 5 15];

MostLeastExpensive = [0 1 0 1 0 1 0 1];%分割 h=pie(gca,Expenses,MostLeastExpensive);legend('Food','Medical','Lodging','Incidentals',...'Transport','Utilities','Gifts','Shopping');

11%14%4%7%13% FoodMedicalLodgingIncidentalsTransportUtilitiesGiftsShopping28%14% 9%

x = [20 10 40 12 20 19 5 15];explode = [4 2 2 2 2 4 2 2];label = {'Food','Medical','Lodging','Incidentals',...'Transport','Utilities','Gifts','Shopping',}';figure('color','w','renderer','openGL');h = pie3(x,explode);h = findobj(h,'Type','text');set(h,{'string'},cellfun(@strcat,get(h,{'string'}),label,'un',0),'FontName','Times New Roman','FontSize',16);%set(h,{'string'},strcat(get(h,{'string'}),label));

%cm = [72 65 137;143 184 58;193 60 49;41 121 201;...%

150;189 84 58;193 160 90;241 121 101]/255;colormap(jet), shading interp view(18,20), camproj perspective light('Position',[1 2 3],'Style','inf')lighting gouraud

x = [20 10 40 12 20 19 5 15];explode = [4 2 2 2 2 4 2 2];label = {'14% Food','7% Medical','28% Lodging','9% Incidentals',...'14% Transport','13% Utilities','4% Gifts','11% Shopping',}';figure('color','w','renderer','openGL');pie3s(x,'Explode',explode,'Labels',label)%見Matlab_pie3s

直方圖

Y = round(rand(5,3)*10);figure;subplot(2,2,1);bar(Y,'grouped');title('Group')subplot(2,2,2);bar(Y,'stacked');title('Stack')subplot(2,2,3);bar(Y,'histc');title('Histc')subplot(2,2,4);bar(Y,'hist');title('Hist')Group105100123Histc10501050450123Hist453020Stack1234512345

stream = RandStream('mrg32k3a','Seed',4);y1 = rand(stream,10,5);hb = bar(y1,'stacked');colormap(summer);hold on y2 = rand(stream,10,1);set(gca,'FontSize',14,'FontName','Times New Roman')hp = plot(1:10,y2,'marker','square','markersize',12,...'markeredgecolor','y','markerfacecolor',[.6,0,.6],...'linestyle','-','color','r','linewidth',2);hold off legend([hb,hp],'Carrots','Peas','Peppers','Green Beans',...'Cucumbers','Eggplant','Location','SouthEastOutside')3.532.521.510.50 12345678910CarrotsPeasPeppersGreen BeansCucumbersEggplant Data = [1,-2,3,1,-1,-2 4 2 3];DataP = Data;DataN = Data;DataP(Data < 0)= 0;DataN(Data > 0)= 0;figure;bar(DataP,0.5,'k','EdgeColor','k');hold on;bar(DataN,0.5,'b','EdgeColor','b');43210-1-2123456789

Y = round(rand(5,3)*10);figure;subplot(2,2,1);bar3(Y,'grouped');

title('Group','FontSize',14,'FontName','Times New Roman')subplot(2,2,2);bar3(Y,'stacked');

title('Stack','FontSize',14,'FontName','Times New Roman')subplot(2,2,3);bar3(Y,'histc');

title('Histc','FontSize',14,'FontName','Times New Roman')subplot(2,2,4);bar3(Y,'hist');

title('Hist','FontSize',14,'FontName','Times New Roman')

Group1020Stack***Histc1010Hist***45123

桿狀圖

Data = [1,-2,3,1,-1,-2 4 2 3];DataP = Data;DataN = Data;DataP(Data < 0)= NaN;DataN(Data > 0)= NaN;figure;stem(DataP,'k');hold on;stem(DataN,'b');43210-1-2123456789Data = [1,-2,3,1,-1,-2 4 2 3];DataP = Data;DataN = Data;DataP(Data < 0)= NaN;DataN(Data > 0)= NaN;figure;stem(DataP,'k','fill');hold on;stem(DataN,'b','fill');4

3210-1-2123456789 Data = [1,-2,3,1,-1,-2 4 2 3];DataP = Data;DataN = Data;DataP(Data < 0)= NaN;DataN(Data > 0)= NaN;figure;stem(DataP,':diamondk','fill');hold on;stem(DataN,':diamondr','fill');43210-1-2123456789

Data = [1,-2,3,1,-1,-2 4 2 3];DataP = Data;DataN = Data;DataP(Data < 0)= NaN;DataN(Data > 0)= NaN;figure;stem(DataP,'LineStyle','-.','MarkerFaceColor','k','MarkerEdgeColor','green');hold on;stem(DataN,'LineStyle','-.','MarkerFaceColor','red','MarkerEdgeColor','green');4

3210-1-2123456789

三維圖形

figure;[X,Y] = meshgrid(-15:.5:15,-12:.5:12);%X belongs to [-15,15] and Y belongs to [-12,12].R = sqrt(X.^2 + Y.^2)+ eps;Z = sin(R)./R;mesh(Z);%surf(X,Y,Z)

xlabel('X','FontSize',14,'FontName','Times New Roman')ylabel('Y','FontSize',14,'FontName','Times New Roman')zlabel('Z','FontSize',14,'FontName','Times New Roman')title('3-D space','FontSize',16,'FontName','Times New Roman')

3-D space by mesh10.5Z0-0.***203040506070YX

figure;X=-12:0.5:12;Y=-12:0.5:12;%surf繪圖時，X,Y可以是一維向量，也可以是二維矩陣 R=ones(length(X),length(Y));for i=1:length(X)

for j=1:length(Y)

R(i,j)= sqrt(X(i).^2 + Y(j).^2)+eps;

end end

Z = sin(R)./R;surf(X,Y,Z);xlabel('X','FontSize',14,'FontName','Times New Roman')ylabel('Y','FontSize',14,'FontName','Times New Roman')zlabel('Z','FontSize',14,'FontName','Times New Roman')title('3-D space by surf','FontSize',16,'FontName','Times New Roman')

3-D space by surf10.5Z0-0.5151050-5-10-15-15-10-5051015YX

figure;[X,Y] = meshgrid(-15:.5:15,-12:.5:12);%X belongs to [-15,15] and Y belongs to [-12,12].R = sqrt(X.^2 + Y.^2)+ eps;Z = sin(R)./R;plot3(X,Y,Z);xlabel('X','FontSize',14,'FontName','Times New Roman')ylabel('Y','FontSize',14,'FontName','Times New Roman')zlabel('Z','FontSize',14,'FontName','Times New Roman')title('3-D space by plot3','FontSize',16,'FontName','Times New Roman')

3-D space by plot310.5Z0-0.5151050-5-10-5051015Y-15-15-10X

數(shù)學公式、符號和希臘字母的輸入命令

Character Sequence alpha beta gamma delta epsilon zeta eta theta vartheta iota kappa lambda mu nu xi pi rho sigma varsigma tau equiv Im otimes cap supset int rfloor lfloor perp wedge rceil vee langle Symbol α β γ δ ? δ ε Θ ? ι κ λ μ ν ξ π π σ ρ τ ≡ ?

? ∩ ?

∫ ? ? ⊥

∧

ù ∨ ∠

Character Sequence upsilon phi chi psi omega Gamma Delta Theta Lambda Xi Pi Sigma Upsilon Phi Psi Omega forall exists ni cong approx Re oplus cup

subseteq in lceil cdot neg times surd varpi rangle

Symbol ? Φ σ τ υ Γ Δ Θ Λ Ξ Π Σ ? Φ Ψ Ω ? ? ? ? ≈ ? ⊕ ∪

? ∈ é · ? x √ ? ∠ Character Sequence sim leq infty clubsuit diamondsuit heartsuit spadesuit leftrightarrow leftarrow uparrow rightarrow downarrow circ pm geq propto partial bullet div neq aleph wp oslash supseteq subset o nabla ldots prime